Digital Nudging and its Impact on Healthcare Work: Improving Clinical Documentation with Mobile Applications

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Snorradóttir, Adeline Tracz, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5349727/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Good clinical documentation is important for patient safety, communication between healthcare professionals, legal protection, quality assurance, reimbursement, and research. In this study, we conduct a two-phased field study on a mobile application designed to support healthcare professionals in improving clinical documentation directly into Electronic Health Records (EHRs). First, we introduced the application to four hospital wards and conducted interviews, user testing, usability, and user experience testing. Second, we measured the application’s usage over three months and compared it to the three months before implementation. The results show that this mobile application significantly saves time for healthcare professionals and supports their clinical documentation practices. We also evaluate if embedding digital nudging into the design of the mobile application impacts healthcare professionals and their established workflows and routines. Clinical documentation a mobile application for healthcare professionals evaluating healthcare technologies nudging Figures Figure 1 Figure 2 Figure 3 Figure 4 1 Introduction Good clinical documentation practices in healthcare are vital for several reasons. First, accurate documentation helps ensure continuity of care and provides a comprehensive record of a patient's condition, treatments, and responses, which can prevent errors and improve patient safety (McCarthy et al. 2019). Second, proper documentation facilitates clear communication among healthcare team members and ensures that all members of the team are informed about a patient’s status and care plan (Asmirajanti et al. 2019). Third, documentation serves as a legal record in case of disputes or malpractice claims and can protect healthcare professionals and the healthcare facility by providing evidence of the care provided (Sharifi et al. 2021). Fourth, detailed documentation allows for the evaluation of the quality of care delivered and helps in identifying gaps in care and areas for improvement, aiding in the development of better practices and protocols (Pine et al. 2023). Fifth, documentation is essential for billing purposes. Accurate records support claims for reimbursement and ensure that services provided are appropriately billed (Sanderson and Burns 2020). Finally, documentation contributes to data that can be used for research, policy-making, and education, ultimately leading to advancements in healthcare practices (Pine et al. 2023). Thorough clinical documentation and subsequently good quality data is a cornerstone of effective healthcare practice, supporting patient care, legal protection, and systemic improvements within healthcare (Pedersen and Bossen 2024). To become data-driven it is necessary to generate, acquire, filter, validate, store, and visualize data as well as ensure that data is put into use (Pedersen and Bossen 2024). That is why we have seen the development of data professionals in healthcare who guide the use of data in the healthcare sector (Bossen and Bertelsen 2023). However, patient management systems must also support healthcare professionals in adequately documenting their work. To support better clinical documentation, the systems have been developed with features such as reminders and alerts, visualization tools, checklists, and streamlined interfaces. Healthcare professionals make a vast number of decisions every day within the patient management systems based on rational deliberations of the available options. However, they are also influenced by the design of the choice environment in which information is presented, which can result in either a reflective or automatic response. Nudging theory, which derives from behavioral economics, acknowledges that the “choice architecture alters people’s behavior in a predictable way” (Thaler and Sunstein 2008). Small changes in the choice environment can influence people’s choices and “nudge” them into behaving in a certain way (Weinmann et al. 2016). For example, setting a default option to administer vaccinations to eligible hospitalized patients who do not decline them (Halpern et al. 2007). Digital choice environments are often designed by trial and error, where best practices are copied from competitors and often modified ineffectively to have an unintended influence on the choice architecture, which ultimately impacts the decision-making of the users (Mirsch et al. 2018). This can result in “mindlessness” when designing and implementing digital choice architecture (Salovaara et al. 2019). The answer to designing without a clear goal lies in the consideration of responsibility. Responsibility allows us to evaluate transformational digital technologies and the use of digital nudging in a balanced manner, by factoring in both harmful and positive outcomes from the engagement with such artifacts (Voegtlin et al. 2022). A systematic approach to designing digital nudges, considering responsibility and ethics, should be the guiding light for designers when designing UI, UX, choice architecture, and digital services in general. Nudges are widely applied in public health policy (Murayama et al. 2023) and according to the OECD, more than 200 nudge units exist worldwide (as of August 2018) (OECD 2022). Some of these units specialize in healthcare policy and systematically develop and test approaches using nudges to improve healthcare delivery (Patel et al. 2018). The computer-supported cooperative work (CSCW) is concerned with systems on which users generally have great influence. It recommends a step-by-step evolutionary approach (Ellingsen et al. 2022; Fitzpatrick and Ellingsen 2013) with a clear focus on the stakeholders involved, especially the users but also developers and other stakeholders. In this study, we investigate how reminders and alerts, visualization tools, checklists, and streamlined interfaces support better clinical documentation when part of the workflow of healthcare professionals using a newly developed mobile application. We interview designers, developers, and the users of the new digital workflow. We will also shed light on whether elements from the design can be categorized as nudges or digital nudges, and consequently examine whether there are opportunities to implement digital nudges in a targeted manner in the software development of hospital systems. Empirically, we investigate the introduction of a new mobile application designed and developed for healthcare professionals as an extension to the patient management system, to improve documentation by allowing bedside recording in real-time. Lightweight IT such as mobile applications has provided users with instant value for improving the workflows of healthcare professionals without the need for demanding and comprehensive reorganization of work practices (Severinsen et al. 2022). The mobile application features two key functionalities. Firstly, Security Check for inpatients, which facilitates either a start of the shift checklist that a healthcare professional answers while observing the conditions of a patient at the beginning of each shift, or a regular checklist that a healthcare professional answers at fixed intervals during a shift. Secondly, Photo Documentation enables clinical photo documentation through the mobile application, feeding the data directly into the electronic health records (EHRs). The motivations behind photo documentation in clinical settings are various. Photos are taken to document the development of healing wounds or other visible symptoms, to share progress with specialists who might not be on-site or currently available, for educational purposes, and to receive consultations. The photos also become part of patients’ medical health records which belong to the patients and are available to them on request. These two features of the mobile application are designed to encourage better documentation, support enhanced patient security, and maintain a history of patient symptoms. The mobile application design and development started in May 2022 and has continued with an iterative approach. The current iteration has been adopted by four departments in [hospital name blinded for review]. By exploring the current workflow, identifying areas for improvement, incorporating user feedback, and evaluating usage, this paper aims to evaluate the mobile application’s usability, efficiency, and effectiveness in nudging healthcare professionals toward improved documentation practices. To understand the impact of a mobile application on clinical documentation practices we ask the following question: How to improve clinical documentation practices with a mobile application? The main contribution of our paper is two-fold: (i) thick descriptions outlining the need for careful design of mobile applications when realizing those in complex digital health contexts and (ii) conceptual contributions outlining the way digital nudging impacts the work of healthcare professionals. 2 Related work In order to target our research question, we will first provide the lay of the land of the literature on digital health technologies, followed by a section on digital nudging in healthcare, and lastly, co-design with healthcare professionals. 2.1 Digital Health Technology Information infrastructure in healthcare often consists of large heavyweight IT constellations that are becoming increasingly complex and rigid, requiring extensive time and effort to facilitate change and to meet innovation needs (Ellingsen 2024; Severinsen et al. 2022). The integration of digital health technology (hereinafter DHTs) has become more prevalent in the healthcare industry, revolutionizing the way patient care is delivered (Mahajan et al. 2021; Oddsson et al. 2022). DHTs refer to the use of digital platforms, connected sensors, and mobile applications to enhance patient lives and work within healthcare settings (Sharma et al. 2018). Increasingly, lightweight IT applications, complementary to the existing heavyweight IT, are entering the e-health field. These innovative and agile applications support immediate user needs and work processes, with simple applications like apps (Bygstad 2017). With the rise of DHTs and lightweight IT, healthcare professionals are presented with new opportunities to streamline workflows, enhance the quality of care, and improve overall efficiency within clinical settings (Rosenlund et al. 2023). However, with these developments come unique challenges and considerations concerning the usability, functionality, and integration of lightweight IT with existing healthcare practices (Yeung et al. 2023; Giebel et al. 2023). When it comes to the work of healthcare professionals, they encounter multiple challenges in their daily tasks, as their work environment is unique and paved with responsibilities. A nurse’s work environment is often described as fast-paced and unpredictable, with nurses experiencing a particularly heavy cognitive workload (Kalisch and Aebersold 2010; Grisot et al. 2019). Physicians also encounter a high cognitive load during their work, but bearing the responsibilities of patient care is less taxing with the use of DHTs (Vallo Hult et al. 2020). Given the fundamental role that healthcare professionals play in patient care, they must maintain both physical and psychological well-being, as stress and burnout are unfortunately common issues among this group (Costa and Pinto 2017; Borges do Nascimento et al. 2023). Documentation consumes a significant amount of time from healthcare professionals, detracting from direct patient care (Momenipour and Pennathur 2019). However, DHTs that enable bedside, or point-of-care documentation have been shown to reduce documentation time and increase efficiency compared to central stationary desktop documentation (Poissant et al. 2005). Similarly, the use of checklists has improved compliance with guidelines in various clinical settings which positively impacts healthcare settings in general (Boyd et al. 2017; Thomassen et al. 2014). Healthcare settings globally have increasingly integrated smartphone photography into their routine practices for patient rounds, consultations, and intra-operative evaluations (Park et al. 2019). This adoption has shown benefits in enhancing communication among and within medical teams (Rodriguez-Feliz and Roth 2012). Notably, the adoption of mobile applications for clinical photo and wound documentation has resulted in benefits such as saving time, enhanced patient safety and quality of care, improved data security, and better accessibility (Jacob et al. 2020). Successful integration of these mobile applications into clinical workflows can lead to enhanced collaboration, transparency, and clinical empowerment, which require engaging users in the design, development, and adoption process (Jacob et al. 2020). They span a wide range of uses, from applications used within hospital settings to preventive care, used outside of the boundaries of healthcare (Jóhannsdóttir et al. forthcoming). DHTs, which are used to enhance the work of healthcare professionals, can be targeted toward alleviating the cognitive load of memorizing in fast-paced environments (Islind et al. 2021). Those types of DHTs have proven revolutionary in recent years, to enhance record keeping (Ellingsen et al. 2024). While many studies have focused on the impact of the electronic health record (EHR/EPR) on healthcare work in general, there are limited studies that focus on novel additions to enhance the user experience and usability of the EHR (Mörike et al., 2024). Moreover, there is a gap in the literature concerning the feasibility and user experience to evaluate how lightweight IT built as extensions to the legacy systems of EHR, impact the work of healthcare professionals. There are a few elements that are pivotal when it comes to documentation in healthcare. One such element is clinical photography, which plays an important role in documentation within healthcare settings. The ability to take pictures has changed how healthcare professionals describe a clinical condition and track the progression of a patient’s trajectory over time (Reinders et al. 2023). These features, embedded within mobile applications, are mainly used in dermatology, and offer a two-fold benefit. First, the patient can self-document their skin examination. Second, the work of healthcare professionals is significantly enhanced as it allows for bedside documentation which reduces cognitive load (Park et al. 2019). The benefits and functions of photo documentation through mobile applications can extend to almost any specialty within healthcare e.g., documenting the progression of wound healing (Harting et al. 2015). However, using smartphones for this purpose can raise privacy issues as it can entail the risk of unauthorized access and disclosure of sensitive patient information (Perwej et al. 2022). To address these concerns, studies have been conducted on mobile applications that securely capture and transfer clinical or medical images to the EHR, therefore complying with privacy laws (Landman et al. 2015; Wyatt et al. 2020). For instance, a study by Landman et al. (2015) revealed positive feedback from participants, emphasizing their utility in clinical practice. Similarly, Wyatt et al. (2020) evaluated patients’ attitudes toward photography using a secure mobile phone application, indicating favorable attitudes among patients. 2.2 Digital nudging in healthcare The concept of nudges originated in the behavioral economics discipline and in recognition that when faced with prediction problems, decision-makers often rely on simple heuristics or rules of thumb. This sort of reliance tends to result in cognitive biases, or predictable distortions in decision-making that can ultimately result in suboptimal outcomes (Thaler and Sunstein 2008; Tversky and Kahneman 1974). Nudges shape behavior due to well-known flaws in human decision-making, such as status quo bias, or an aversion to change, and omission bias, or where people tend to fear making a wrong choice (errors of commission) more than missing out on a better one (errors of omission) (Baron and Ritov 1994; Tversky and Kahneman 1991). While the initial wave of nudging studies targeted mainly the adoption of healthier behaviors by individuals considering exercise (Forberger et al. 2019; Ledderer et al. 2020), eating (Wilson et al. 2016; Tørris and Mobekk 2019; Bucher et al. 2016), and quitting smoking (Sunstein 2015), nudging is now increasingly being perceived as a policy strategy to improve public services (Halpern 2016; Bache et al. 2016) like the healthcare system (Patel et al. 2018). Healthcare systems are however notorious for their complexity and conservative culture making change management rather challenging (Wensing et al. 2020). Because of its complexity, change management in healthcare requires more nuanced and well-thought-out interventions instead of top-down strategies, such as issuing more policies, prescribing more regulations, and introducing more stringent performance indicators (Braithwaite 2018). While nudging has been increasingly discussed and used for patients and citizens, there has been less focus on the use of nudging strategies targeting healthcare professionals (Sant’Anna et al. 2021). In a recent literature review, most of the studies had as their objective to change prescription and ordering behavior (Sant’Anna et al. 2021). They encountered various nudging interventions where common interventions included defaults/pre-orders, environmental cueing/priming, alerts/reminders, and peer comparison (Sant’Anna et al. 2021). Another systematic review explored the effectiveness of nudges as a tool to promote adherence to guidelines in healthcare (Nwafor et al. 2021). They developed six main nudging categories where nudging can be applied to promote adherence to guidelines. They are salience of information or incentives, understanding mapping, default choices, providing feedback, error reduction, and structuring complex choices. The most common nudging interventions were increasing salience of information, providing feedback, or a combination of these both. Their review covered 50 inpatient settings and 30 outpatient settings where most of the studies conducted reported improved adherence to the guidelines by care providers – inpatient (70%) and outpatient (83%) (Nwafor et al. 2021). In their assessment, they found compelling evidence that nudges are an effective tool for promoting adherence to guidelines. They also observed that the literature is primarily focused on whether nudge interventions work, with little consideration for organizational issues such as cost-effectiveness , impact on healthcare workers, and disruptions of established workflows and routines (Nwafor et al. 2021). Furthermore, digital nudging is an approach where people's cognitive biases are actively used and applied to the design elements in the user interface (UI) to affect the choices of users in digital health technologies (Mirsch et al. 2017; Schneider et al. 2018). The nature of digital health technologies allows for scalable and readily available solutions for patients and healthcare professionals, and digital nudging can be embedded within those. 2.3 Co-design with Healthcare Professionals In organizations with complex work practices, such as hospitals, it is generally recognized that only the users themselves know the practice sufficiently well to be able to assess the suitability of the system (Malm-Nicolaisen et al. 2024). Inclusion in design can take many forms. One such form is through user testing. User testing plays a crucial role in ensuring the usability and effectiveness of DHTs (Brewer et al. 2020). Several aspects have proved important when it comes to user testing. Firstly, it is important to employ a mixed-method approach (e.g. use of qualitative and quantitative viewpoints) during user testing and usability evaluation to achieve a broad and deep understanding (Carayon et al. 2015). Secondly, having sector-specific customizations plays an important role because the healthcare sector in particular faces many barriers to adopting new technologies such as system barriers, infrastructural barriers, resource barriers, tradition, and image barriers (Iyanna et al. 2022). Finally, involving the target user group early on is imperative, as their feedback will help optimize the design and usability before development progresses too far in the wrong direction (Woodward et al. 2024). Moreover, the literature is paved with examples stating that involving patients and healthcare professionals in co-designing DHTs is essential for their success (Sigurðardóttir et al. 2024). There is a need to involve all stakeholders, both direct and indirect, to address the complexity of healthcare systems and accommodate emergent challenges that DHTs intentionally or unintentionally bring about (Papoutsi et al. 2021). That focus, outlined in the literature on heavy user involvement during design alongside the benefits of mixed-method approaches during user testing, heavily influenced the chosen methodology for this paper. 3 Method In this paper, we adhere to the interpretive research tradition (Klein and Myers 1999; Walsham 1995) to gain insights into human thought and action in a specific organizational context. We start this section with an introduction to the empirical context, followed by outlining the methods for user testing and interviews, as well as the approach for the quantitative analysis. 3.1 Empirical Context: [hospital name blinded for review] Digital Health Platform In 2008, the IT department at [hospital name blinded for review] began the process of integrating silo-systems to create an integration layer connecting over 70 clinical systems and 9000 medical equipment. That integration layer made it possible to design and develop a web application for healthcare professionals. The web application is called [name of application blinded for review] and gives healthcare professionals access to information in real-time, in one place in an ordered manner. The products within the web application include an electronic whiteboard that displays a real-time overview of all inpatients for the relevant department, workspaces for healthcare professionals and departments where lab results are shared in real-time, and a patient management site for remote patients which displays real-time information about patients. These are only a few products that have been developed within the [name of application blinded for review] web application. In 2022, development began on a mobile application for both clinical and non-clinical employees of the hospital. The mobile application is called [name of application blinded for review] and allows the transportation services at the hospital to manage their tasks. Healthcare professionals at the hospital can complete various checklists and upload photos directly from smartphones or tablets to EHRs. The personnel in the transportation services at the hospital all belong to a single department and it was evident after the first release of the mobile application that its functionality would only be adapted to a small section of the hospital. That is why the design and development team of the mobile application decided to develop features that would be useful across different departments. The pain point of not having an easy and secure way to transfer photos to the EHRs was frequently raised by doctors, nurses, and nurse associates across the hospital. After meeting with four nurses in the roles of heads of departments another point emerged with the security checks that were performed every two hours for inpatients. This was a task that was performed 24 hours a day and the nurse associated performing the tasks would either write the results on paper or simply just mark a checklist as “complete” in a desktop application without going through all the steps of the checklist. Other reasons for developing the security checks were because they were bedside documentation which were considered convenient to perform on a mobile application. The mobile application is currently in use at four departments at [hospital name blinded for review] and is being prepared for further adoption in all hospital departments. The mobile application is an extension to the EHRs that healthcare professionals use throughout their work at the hospital, but the application brings the option of mobility and documenting at the bedside in real-time. The features that this paper focuses on designing, developing, and evaluating within the mobile application are Security Checks and Photo Documentation . Security Checks involve a safety checklist performed at the beginning of each shift and subsequently repeated at regular intervals, such as every 2 hours, for inpatients. It aims to enhance and ensure patient safety. Photo Documentation allows healthcare professionals to take photos and send them safely to the patient's EHRs to document patient trajectories, such as wound progression and other similar issues that may warrant photo documentation. We performed this study in two phases after receiving permission from the hospital's Administrative Research Ethics Committee. In the first phase, we conducted a usability analysis on a relatively new mobile application designed and developed with and for healthcare professionals. The application allows bedside documentation in real-time that exports data directly into the EHRs. We evaluated the users’ attitudes and gathered ideas for enhancing the mobile application’s functionality with short ten-minute interviews. We also applied the most used methods in evaluating and testing DHTs, which are questionnaires, i.e. the System Usability Scale (SUS), combined with semi-structured interviews and heuristic evaluations (Maqbool & Herold, 2023). In the second phase, we evaluated the usage of the application by healthcare professionals in a field study. We inspected the user logs of the desktop version of the EHR system for three months, before the application was implemented, and compared that with the usage of the mobile application for three months after the implementation. 3.2 Interviews and usability analysis The department visits started with the head of nursing gathering available healthcare professionals to test the application and be interviewed the author 1 and 2 of this paper. The participants were selected for the field study based on their availability at the time of testing. In the process of accepting to participate in the field study participants were made aware that they could drop out at any time during the process. No one dropped out and we received answers from 21 participants from four different departments within the hospital. The age range was 21-58 years old, with a mean age of 38 (SD 9.81). The participants represented different clinical roles, including eleven nurses, seven nurse associates, one doctor, one medical student, and one specialized employee. We asked the participants to perform user testing cases, a demographic and background information survey, and the standardized questionnaires System Usability Scale (SUS) and AttrakDiff. The user test cases were: (i) Take a photo, write a description, and send it to the patient's records, (ii) Complete a security checklist at the beginning of a shift, (iii) Complete a regular security checklist, and (iv) Log out of the application. While performing the above tests, the healthcare professionals were encouraged to use the think-aloud techniques, expressing any thoughts that came up during the tests out loud (Lárusdóttir 2009). We observed how the tasks were performed and noted whether they went smoothly or if there were any issues in the process. Following the test cases, participants were asked to answer three questionnaires: SUS (to measure usability), AttrakDiff (to measure user experience), and demographic and background information questionnaire. After each session, we encouraged open communication to elicit participants' feelings about the application, their observations regarding potential opportunities for improvement, and their assessment of the application's compatibility with their current workflow. Based on their feedback changes were made to the application in the next three releases. Three months after the implementation of the mobile application we visited the wards again to gather feedback about their experience for the past three months. 3.3 Quantitative measurements Even though the mobile application was being adopted in a few departments within the hospital, we decided to focus our field study on only two departments where the protocol for documentation included either security checks or photo documentation. We measured the documentation with the new workflow for three months after the adoption and compared that to the documentation three months before introducing the new workflow. 3.2.1 Electronic whiteboard and security checks. For the measurements of the new workflow, we measured the documentation of security checks in a particular inpatient department. Security checks are usually performed by a nurse associate. At the beginning of all shifts, patients are assigned to the nurse associate using the electronic whiteboard. The electronic whiteboard displays the name of the patient, the patient's location, the time of the last security check, a countdown to the next security check, and finally the name of the assigned nurse associate. If the security check is not performed on time the field displaying the countdown will turn red. The electronic whiteboards are displayed on a large screen visible to all healthcare professionals in the inpatient department. The checklist for the beginning of the shift includes seven multiple-choice questions concerning the patient’s condition and the regular checklist includes eleven multiple-choice questions. Healthcare professionals carry their mobile work phones with the application installed during security checks. First, they identify the patient by scanning the barcode on their wristband or entering their SSN. Once confirmed, they will proceed with the security check and simultaneously fill out the checklist in the application and send it. Subsequently, the security check is readily available in the patient’s records. With this new workflow, we anticipate an improvement in the timeliness of registering information from security checks, ensuring close to real-time documentation. In the evaluation of the timeliness of security checks, we focused on a single inpatient department as their standard of care is to perform a security check every two hours for every patient. We compared the completed security checklists in the period before the implementation of the mobile application to the period after the implementation. Additionally, we expected this streamlined process to expedite task completion for healthcare professionals, reducing documentation time and improving efficiency. We measured the time it takes to complete a security checklist on a desktop and compared that to the mobile application. We also evaluated the difference in the number of security checks performed daily, for a department full of patients. We compared the average number of security checks for the three months before introducing the mobile application to the three months after the introduction of the mobile application. We expected enhanced accuracy in the registered information, improving efficiency and patient safety. Unfortunately, we could not evaluate the changes in the quality of the exact answers to the security checklist questions concerning the conditions of the patients, as that would require us to access patients’ medical records. To evaluate the adoption of the mobile application for the inpatient department we compared usage logs with a list of all healthcare professionals on duty at this inpatient department responsible for performing security checks. We measure the impact on documentation as well as the impact on healthcare workers, and disruptions of established workflows and routines. 3.2.2 Photo Documentation. We focus on a single outpatient department that is heavily reliant on photo documentation. We analyzed the photo documentation of three nurses over a six-month period where they uploaded hundreds of photos. For the first three months, they did not have access to the mobile application and for the last three months, they had the option to also use the mobile application. Healthcare professionals use the application on their work or personal mobile phones and take photos through the application. First, they identify the patient either by scanning the barcode on their wristband or entering their SSN, then confirm that this is indeed the right patient. A camera interface appears, allowing them to take photos, add comments, and upload them to the EHR. The photo is never saved on the device locally as it goes straight from the application to EHRs. With this new workflow, we hoped that taking photos within the hospital would be an easier and less time-consuming process. We started by measuring the time it takes to add photos to EHRs using the old approach compared to the mobile application. We evaluated changes in the number of patients who were photo-documented three months before the introduction of the mobile application and compared that to three months after the application was integrated into the process of the outpatient department. We measured the average number of patients being photo-documented during a day shift. We also measured the number of photos that were taken per patient every day. The mobile application is expected to enhance data accuracy as the new process makes it less likely to mix up photos. It will also increase the safety of vulnerable data about the patient since it will no longer be stored on any phone as it will only be stored as part of EHRs. Below are screenshots from the application. Figure 1 shows the home screen, where to access Security Checks and Photo Documentation, and the patient's authentication by social security number (SSN) or scanning a barcode. As mentioned above, these are the initial steps the user takes when engaging with the application. In Figure 2, the first two screenshots show Security Check and the third shows Photo Documentation. 4 Results In this section, we will present the results of our field study. Starting with the main themes that emerged from the interviews, followed by the results of the usability scores, and closing with the results measuring the impacts of clinical documentation comparing the desktop process to the mobile application. 4.1 Main themes from the interviews We interviewed the participants at the outset of the implementation process and three months after introducing the mobile application into the workflow. We have summarized the results from the initial interviews in Table 1 below. Table 1. The main themes from the initial interviews Main theme Context New features Users expressed interest in multiple new features, which underscores the interest and functionality of a mobile phone application for healthcare professionals within the hospital. Suggestions include accessing digital guidelines for each patient, comparing photos to track wound progression, receiving notifications for security checks, and performing various medical procedures such as risk assessment, tube feeding, high-flow oxygen therapy, and drainage. Additionally, users requested features for registering and monitoring the settings for medical devices and tracking food and water intake. This was well outlined by one physician during the testing: “It would be great to have a better interface in the medical record system to compare images. So that you can set two photos side by side or look at trends in a simple way over time.” (Physician) Displaying data in EHRs Healthcare professionals expressed concerns about how photos are displayed in patient records and underscored that they must be easily found and accessible. Some suggested that the comment should be the title of the photo. Photo quality and features Healthcare professionals highlighted the importance of photo quality, that it was necessary to use the photos in clinical evaluations, and requested additional features such as zoom and flash capabilities for the camera. They also emphasized the need for photos to be safely stored in case something goes wrong so they can be uploaded later. Improvements in wristband scanning were also suggested. The high quality was outlined as particularly important when documenting wounds: “As we are dealing with wounds we need to have high-quality photographs. We also need to zoom because we do not want to get too close to the patient’s skin.” (Nurse associate -1) Language options Some users expressed the need for language options. At the time of the initial interviews, the application was only available in a specific Nordic language, but English would accommodate non-native speakers who use the application. Safety and professionalism Healthcare professionals raised concerns about using mobile phones for professional purposes, mentioning professionalism and patient perception as key considerations. One department preferred using the application on tablets instead. Three months after the implementation of the mobile application we interviewed the healthcare professionals from the departments where we analyzed the usage and asked them about their experience using the application. The results of the interviews are summarized in table 2 below: Table 2. Main themes from the interviews three months after implementation Main theme Context Limited utility They complained that there were only two types of tasks they could perform using the mobile application. “If it was possible to do more tasks in the app, we would be at the point where staff would not go anywhere without the ward phone.” (Nurse - Head of Department). Network effect Mentioned it would benefit them if the app was more widespread. A nurse stated “It would be much better for us if most departments in the hospital used the app. We often need to give consultation and we then ask the relevant personnel to add a picture to the medical records. We sometimes get an answer that they don't know how to do that. In the future, they could simply use the app.” (Nurse - 1). Ease in photo documentation “With the old method, you were sometimes scrolling through a lot of pictures on the phone. It could take time to find the right image to upload to the patient’s file.” (Nurse - 1) Another nurse said she was more likely to take photographs when using the novel feature, as it supported the work well: “I’m much more likely to take a photo of the patient than I was before. Today I photograph most of the patients coming through the outpatient reception.” (Nurse - 2). Different workflow for the nightshift The use also called for new routines, such as rethinking the use of the app during the night, which posed some practical issues when the patients were sleeping: “We maybe need to think how to use the app at night. The staff does not stand over the patient's bed to scan the wristband when the patient is asleep. There is a different usage at night, but they still want to use the app.” (Nurse - Head of Department). Generational aspects Interestingly, some generational aspects were identified by one of the nurse associates, to highlight that the mobile application would gain traction to a larger extent in the coming years: “Some staff are still using the desktop computer. All the new staff immediately started using the app. The old ones are still typing on the computer. The new and young people immediately took to the app.” (Nurse associate - 2). Peer comparison Asked if they experienced peer comparison because statuses of completed / uncompleted security checks were visible to all via the electronic whiteboard, one nurse replied: “I guess it depends on the ward. I don’t experience that in our department because we have very fragile patients and need to be at their side to take care of them anyway. But I can imagine that it matters more in departments where patients are more self-sufficient with their basic needs but may still need to be checked on. For example, at the psychiatric ward”. (Nurse – 3). Unexpected advantages We encountered one unexpected advantage of the new mobile workflow. “At the inpatient ward, we always use the scanner of the mobile application to scan the wristbands of the patients. It is a certain safety factor because some patients cannot communicate, and in that case, they must have a scannable wristband or just a wristband at all” (Nurse – 3). From the initial interviews, we received comments about the features of the mobile application as well as ideas on additional features. What also emerged were ideas of how we could better adjust the web application, that healthcare professionals use on desktops, to accommodate the photos sent by the mobile application. Three months after the implementation of the mobile application, healthcare professionals expressed concerns that the utility of the mobile app was limited, but in general they were pleased with the features that were already in the app. Concerning elements of the design that could be categorized as nudges or digital nudges, we received mixed results. Based on the results from the interviews, the streamlined interface of the photo documentation did encourage more frequent photo documentation. However, the elements of peer comparison embedded in the electronic whiteboard in the security check workflow did not appear to change the behavior of the healthcare professionals. These key themes provide valuable insights into users' preferences, concerns, and suggestions for improving the application's functionality and usability. Addressing these themes can help enhance users' satisfaction and optimize the effectiveness of healthcare professional’s workflow and patient care. 4.2 User testing the usability analysis When introducing the application to participants we kindly asked them to complete the following tasks: (i) Take a photo, write a description, and send it to the patient's records, (ii) Complete a security checklist at the beginning of a shift, (iii) Complete a regular security checklist, and (iv) Log out of the application. All participants successfully completed all assigned tasks with ease, indicating a generally intuitive interface. During the testing of the Security Check feature, all participants completed the checklist smoothly, without encountering any notable difficulties. This suggests that this feature is intuitive and efficient. Participants navigated the log-out process with ease, indicating a straightforward system for logging out. While testing the Photo Documentation feature, two participants encountered a minor issue: They accidentally deleted all photos while navigating through the process, resulting in the need to retake the photos. Additionally, it was observed that only four participants were aware of the functionality for taking multiple photos in a row. The results from the standardized questionnaire to measure usability, the System Usability Scale (SUS), revealed the application's average score of 72.7 (SD 23.4), corresponding to a grade of B or good usability. To put this number into perspective, the average SUS score is 68, with a score of 75 indicating superior performance, surpassing 73% of other products. The results from the standardized questionnaire to measure user experience, the AttrakDiff questionnaire, revealed that the application scored between 1.1 and 1.4 on all subscales (Figure 3). The AttrakDiff questionnaire evaluates users' perceptions of a product or service across four subscales: Pragmatic Quality (PQ), which assesses usability and functionality. Hedonic Quality - Stimulation (HQ-S) measures simulation and engagement, Hedonic Quality – Identity (HQ-I) evaluates the alignment with the user’s identity, and Attractiveness (ATT) provides an overall product appeal. The user experience questionnaire results indicate that users perceive the product as moderately usable and efficient (PQ mean = 1.35); this is one of the most important subscales for this product to score well on because it measures pragmatic quality, so there is room for improvement. While users find the product somewhat stimulating and engaging (HQ-S mean = 1.15), this subscale is not a focus point for the product. Alignment between the product and users' identity or values could be improved (HQ-I mean = 1.16). Overall, the product receives a positive impression in terms of attractiveness and value (ATT mean = 1.41), suggesting its potential appeal to users. 4.3 Impact on Documentation of Security Checks The Head of the Department at the inpatient ward, where we analyzed the usage of security checks, encouraged the usage of the mobile application. After three months of using the mobile application, we observed that 26 out of 33 healthcare professionals used the application at some point during the implementation period (79%). Usually, five nurse associates, responsible for security checks, are on duty every day. We saw a significant difference in the number of logins between weekdays and weekends. During the work week on average, 2.27 (SD 1.1) out of 5 nurse associates logged into the application daily, while there was a significant drop to only 1.27 (SD 1.3) nurse associates that logged into the application daily during weekends. There was a significant difference between the usage between weekdays and weekends (p 0.0036). This could be explained by information about the new workflow not being delivered properly to nurse associates working weekends, who are often replacement staff. We observed no significant difference in the number of security checks documented during the three months before the implementation of the mobile application compared to the period after the implementation. We also observed no difference in the time spent completing security checks. We analyzed the user logs of nurse associates at the inpatient department to measure the difference in timeliness using the desktop process compared to the mobile application. The security checks should be performed every two hours, and we measured the delta of the deviation. The average delta using the desktop process was 29 minutes and 46 seconds (SD 19 min. and 45 sec.). The average delta was 27 minutes and 33 seconds for those in the department using the mobile application (SD 19 min. and 52 sec.), where 24.6% performed security checks within the 0 -10 minute range from two-hour intervals. This is a significant decrease in delta of 7.5% (p 0.0046). Results of the deviation is presented in Figure 4 and the statistical tests are summarized in Table 3. Table 3. Changes in documentation at the inpatient ward The inpatient ward has space available for nineteen patients in hospital beds. During the observational periods, all beds were occupied, and additional patients were cared for in the ward corridor. That means that the security checklist needed to be performed around 1850 times during a week. In [hospital name blinded for review], this standard of care is maintained across 23 departments while our study outlines an adoption across a few of those. 4.4 Impact on Photo Documentation Looking at the usage of the Photo Documentation feature, three nurses work at the reception in the outpatient department, and all of them switched completely to using the mobile application after implementation. We started by measuring the time it takes to go through the old process of sending photographs compared to the new process. We asked the nurses how long the old process would usually take them, and they mentioned around 2-5 minutes. We looked at the user logs of the EHRs system and saw that the uploading of photographs with the old process took these nurses on average 2 minutes to complete (SD 1 min. and 46 sec.). The process with the mobile application took an average of 10.8 seconds (SD 4.4 sec.). A paired t-test shows there is a significant difference in the time it takes the nurses to use the desktop process compared to the mobile application (p 0.0066). We analyzed the number of patients that the nurses in the outpatient department would photograph during their day shifts. In the three months before the mobile application was implemented, they took photos on an average of 2.9 patients per day shift (SD 1.75). In the three months after implementation of the mobile application the number of patients photographed increased to an average of 4.0 patients on every dayshift (SD 1.83). This is an increase in the number of patients photographed by 39% which is a significant difference based on the paired t-test (p 0.0021). We also analyzed the number of photos documented for each patient. In the period before the implementation of the mobile application an average of 2.0 photos per patient (SD 1.71). After the implementation of the mobile application, there was a slight but insignificant decrease of 10% in the number of photographs taken for each patient resulting in 1.8 photos per patient (SD 0.62). Results are summarized in Table 4. Table 4. Changes in documentation at the outpatient ward The outpatient ward is open four days a week and treats 20-40 patients every week. Based on measuring the time it takes to send a picture with the application there is considerable timesaving for the three nurses that handle the reception. The mobile application saves the outpatient department between 36-73 minutes per week. That time could be used by the nurses to care for the patients that they see every week instead of spending it in front of a computer screen. The estimated time saving for the whole hospital is 10 hours daily with the most potential impact on dermatology, gynecology, and gastroenterology. 5 Discussion As DHTs and lightweight IT continue to transform the healthcare system, engaging healthcare professionals in the design and development process is imperative. Their first-hand experience and deep understanding of both the work environment and patient’s needs are vital in ensuring the successful development and adoption of DHTs (Troncoso and Breads 2021). Healthcare professionals have found these tools to integrate well into their work routines, improving task efficiency while also enhancing and securing the quality of care. Moreover, healthcare professionals generally hold a positive view of DHTs (Mohsam 2024). Therefore, it is important to include them systematically during the design of the DHTs that will impact their work. We set out to answer the research question: How to improve clinical documentation practices with a mobile application? Even though the mobile application currently only has two features for healthcare professionals it has the potential to significantly impact the workflow of healthcare professionals. The healthcare professionals were in the loop and their participation outlines the focal point of this paper. The usability testing and feedback gathered in this study provided valuable insights into the current state of the application designed for healthcare professionals. Identifying areas of improvement in collaboration with healthcare professionals, this study set the stage for future developments and enhancements to the application’s functionality and usability. The results of the feasibility analysis included a good usability score close to 73, and positive user experience scores ranging from 1.1 to 1.4 on all subscale areas. Most user test cases were completed with ease indicating that the application has an intuitive interface well-suited for the hospital work environment. The interviews with the healthcare professionals raised valuable insights regarding the development of new features as well as their experience of using the application for the first three months. The new workflow with the mobile application significantly improved the documentation of security checks and photo documentation. The insights gained from this study can inform the ongoing development of digital health solutions within the hospital and other clinical settings. By comparing the findings from this project to existing literature in the field, we can identify common challenges, best practices, and opportunities for innovation. For instance, the integration of bedside documentation and checklists has been shown to improve efficiency and patient safety (Boyd et al. 2017; Poissant et al. 2005). Although there is significant literature that has been composed in the past years outlining the impact of DHTs on healthcare in general, there is little focus to date on specific features within the DHTs itself. For instance, there has been limited focus on the impact of nudging on the users of DHTs (Sant’Anna et al. 2021). Nudging relies mainly on System 1 reasoning (emotional brain), which refers to quick, intuitive, and automatic responses, as opposed to System 2 reasoning (rational brain), which is a slower and more deliberative process. Nudges shape behavior due to well-known flaws in human decision-making, such as status quo bias, or an aversion to change, and omission bias, or where people tend to fear making a wrong choice (errors of commission) more than missing out on a better one (errors of omission) (Baron and Ritov 1994; Tversky and Kahneman 1991). Nudges can also alter people’s behavior with increases in ease and convenience (Sunstein 2014). The workflow with the security checks was embedded with digital nudges such as alerts when security checks needed to be performed and had components of peer comparison as the status of all patients and the names of the healthcare professionals were displayed on the electronic whiteboard. The new workflow had a significant effect on the documentation of security checks, but the healthcare professionals did not say they were impacted particularly by the nudges. The workflow with the photo documentation was reported by the healthcare professionals to be a much easier way to take photos and send them to the EHRs. We also saw a significant impact on documentation of the healthcare professionals after implementing the streamlined interface for photo documentation. This easy sharing of information has also been explored with other digital devices such as smart scales. Even though the user still has to step on the scale, or photograph the patient in our case, the easy instant sharing and filing of information can be categorized as a nudge (Valinskas et al, 2023). In light of that, our paper shows that the ease and convenience of a mobile application connecting to EHRs improves documentation practices significantly. This study focused on user engagement and co-design, which aligns with broader trends in digital health solution development. By actively involving healthcare professionals in design and testing, organizations can ensure that the technology meets end-users needs and integrates into existing workflows (Papoutsi et al. 2021; Troncoso and Breads 2021). Digital nudges in mobile applications could also apply outside the boundaries of healthcare, to other types of monitoring such as prison guards, equipment monitoring, production, or security guards. The local fire department also showed interest regarding the photo documentation feature of the app, both concerning ambulances, but also fire, surveillance, or other calls. What this paper sheds light on is the dynamic landscape of DHT (Yeung et al. 2023; Giebel et al. 2023). Particularly emphasizing its potential in enhancing patient care and streamlining clinical workflows. As healthcare professionals navigate daily work challenges, including heavy cognitive workloads and time-consuming documentation tasks, integrating innovative solutions becomes imperative. We also highlight the critical role of user engagement in designing and implementing DHTs, recognizing the valuable insight and perspectives that healthcare professionals bring to the development process. By using their firsthand experience and understanding of both the work environment and patient needs, alongside robust user testing methodologies, healthcare organizations can optimize the usability, effectiveness, and acceptance of digital health solutions. As the DHT industry evolves, collaboration between technology designers and developers, healthcare professionals, and patients will be essential in driving innovation and improving healthcare delivery for all. Future improvements should include implementing new features suggested by healthcare professionals, such as notifications for safety check-ins, clinical evaluation papers, and enhanced capabilities for medical procedures such as tube feeding and draining. Additionally, addressing the concerns regarding photo quality, storage, and display in patient records could improve usability and clinical documentation. Also, mitigating the perception of looking unprofessional when using a smartphone to gather or register medical information could be managed by placing a visible hospital logo on the work phones. By prioritizing user-centered design and iterative development cycles, the application can continue to evolve in response to changing user preferences and technology. 6 Conclusion Mobile applications improve documentation. They do so with two specific use cases within healthcare. The design elements could be categorized as nudges or digital nudges. This study shows the need for careful design of mobile applications when realizing those in complex digital health contexts. Incorporating mobile applications into the work of healthcare professionals to perform bedside documentation significantly improves documentation, outlining better and more reliable data over time. There was no significant difference in the number of security checks performed but the impact on the timeliness was significant. The usage of photo documentation also increased significantly resulting in more patients being photographed during their treatment. Conclusively, our paper also shows that nudging through ease and convenience, facilitated by a mobile application connecting to EHRs improves documentation significantly. Declarations The authors have no competing interests to declare that are relevant to the content of this article. Funding No funding was received for conducting this study or to assist with the preparation of this manuscript. Employment LGJ and AT are employed at Landspítali University Hospital. Author Contribution L.G.J and A.H.N.S wrote the main manuscript text, performed the field work, processed the results, and prepared the figures. All authors reviewed the manuscript. References Asmirajanti, M., Hamid, A. Y. S., & Hariyati, R. T. S. (2019). Nursing care activities based on documentation. BMC nursing, 18 , 1–5. Bache, I., Reardon, L., & Anand, P. (2016). 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The Implementation of Change in Health Care,. Weinmann, M., Schneider, C., & Brocke, J. V. (2016). Digital nudging. Business & Information Systems Engineering, 58 , 433–436. Wilson, A. L., Buckley, E., Buckley, J. D., & Bogomolova, S. (2016). Nudging healthier food and beverage choices through salience and priming. Evidence from a systematic review. Food quality and preference, 51 , 47–64. Woodward, M., Dixon-Woods, M., Randall, W., Walker, C., Hughes, C., Blackwell, S., … Van Der Scheer, J. W. (2024). How to co-design a prototype of a clinical practice tool: a framework with practical guidance and a case study. BMJ Quality & Safety, 33 (4), 258–270. Wyatt, K. D., Finley, A., Uribe, R., Pallagi, P., Willaert, B., Ommen, S., Yiannias, J., & Hellmich, T. (2020). Patients' experiences and attitudes of using a secure mobile phone app for medical photography: qualitative survey study. Journal of medical Internet research, 22(5), e14412. Yeung, A. W. K., Torkamani, A., Butte, A. J., Glicksberg, B. S., Schuller, B., Rodriguez, B., Ting, D. S., Bates, D., Schaden, E., & Peng, H. (2023). The promise of digital healthcare technologies. Frontiers in Public Health, 11, 1196596. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5349727","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":379672354,"identity":"435f6c32-f70b-482b-b21d-051e651d61a5","order_by":0,"name":"Lilja Guðrún Jóhannsdóttir","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAtElEQVRIie2PMQrDMAxFZQzuIuo1hZAzKHjtYeylU4ccwVMnX6YEMhsCnUIv0CU9QHcPgdamF9BYqN8kgR7/C6BS+UH2UnoCPKIum+UoSoqinLqDZysgyu1sKHKLqZ3wQ2qlGx8Lwboxi/UBlZvuZwJ3YSqEiG5aMCuem7Jh48aQFcstZhDJ5KisKK7Sou2aRQ2R9YvW861/hTfqIK/PxClWgkiE7xR5AoBcIXFvK5VK5S/5AE4GLR4ycA96AAAAAElFTkSuQmCC","orcid":"","institution":"Reykjavík University","correspondingAuthor":true,"prefix":"","firstName":"Lilja","middleName":"Guðrún","lastName":"Jóhannsdóttir","suffix":""},{"id":379672357,"identity":"f79e37a1-5aab-4565-ad58-6119a88694ce","order_by":1,"name":"Anna Halldóra N. Snorradóttir","email":"","orcid":"","institution":"Reykjavík University","correspondingAuthor":false,"prefix":"","firstName":"Anna","middleName":"Halldóra N.","lastName":"Snorradóttir","suffix":""},{"id":379672359,"identity":"c915c5a7-024e-4c44-a8d2-d428ba3046f8","order_by":2,"name":"Adeline Tracz","email":"","orcid":"","institution":"National University Hospital of Iceland","correspondingAuthor":false,"prefix":"","firstName":"Adeline","middleName":"","lastName":"Tracz","suffix":""},{"id":379672360,"identity":"78854585-83ef-4d1b-8358-f77f24b099d4","order_by":3,"name":"María Óskarsdóttir","email":"","orcid":"","institution":"Reykjavík University","correspondingAuthor":false,"prefix":"","firstName":"María","middleName":"","lastName":"Óskarsdóttir","suffix":""},{"id":379672362,"identity":"11f606af-0c56-46a0-a849-8a207fa83734","order_by":4,"name":"Anna Sigríður Islind","email":"","orcid":"","institution":"Reykjavík University","correspondingAuthor":false,"prefix":"","firstName":"Anna","middleName":"Sigríður","lastName":"Islind","suffix":""}],"badges":[],"createdAt":"2024-10-28 21:23:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5349727/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5349727/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":71101674,"identity":"9c91a51a-20df-4eeb-8db1-c63e818682f8","added_by":"auto","created_at":"2024-12-11 06:55:09","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":197379,"visible":true,"origin":"","legend":"\u003cp\u003eScreenshots of the home screen (left), My tasks (middle), and authentication of a patient (right).\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5349727/v1/cb1440f97d0d7ba1bd9ba8d0.png"},{"id":71101673,"identity":"472f59b0-788a-433c-9068-d6324e64c865","added_by":"auto","created_at":"2024-12-11 06:55:09","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":169024,"visible":true,"origin":"","legend":"\u003cp\u003eScreenshots of Security Check (left and middle) and Photo Documentation (right).\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-5349727/v1/406f0febbb3c15ec8594ece0.png"},{"id":71102001,"identity":"ca6bff44-876a-4db2-bd4e-27edc640d43f","added_by":"auto","created_at":"2024-12-11 07:03:09","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":13114,"visible":true,"origin":"","legend":"\u003cp\u003eGraph showing the average values of user experience subscales.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-5349727/v1/e0044afa6babf4c306183bce.png"},{"id":71101676,"identity":"4c0a178a-426a-453f-b303-30f360923102","added_by":"auto","created_at":"2024-12-11 06:55:09","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":18970,"visible":true,"origin":"","legend":"\u003cp\u003eGraph showing the distribution of timeliness for security checks documented.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-5349727/v1/be8a956c75fcf6a6610355dd.png"},{"id":74387392,"identity":"4be129d0-8211-4117-ae3c-207733ff2771","added_by":"auto","created_at":"2025-01-21 21:01:26","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1133757,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5349727/v1/24cdb892-efb1-43f2-8c23-bcbff663203b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Digital Nudging and its Impact on Healthcare Work: Improving Clinical Documentation with Mobile Applications","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003eGood clinical documentation practices in healthcare are vital for several reasons. First, accurate documentation helps ensure continuity of care and provides a comprehensive record of a patient\u0026apos;s condition, treatments, and responses, which can prevent errors and improve patient safety (McCarthy et al. 2019). Second, proper documentation facilitates clear communication among healthcare team members and ensures that all members of the team are informed about a patient\u0026rsquo;s status and care plan (Asmirajanti et al. 2019). Third, documentation serves as a legal record in case of disputes or malpractice claims and can protect healthcare professionals and the healthcare facility by providing evidence of the care provided (Sharifi et al. 2021). Fourth, detailed documentation allows for the evaluation of the quality of care delivered and helps in identifying gaps in care and areas for improvement, aiding in the development of better practices and protocols (Pine et al. 2023). Fifth, documentation is essential for billing purposes. Accurate records support claims for reimbursement and ensure that services provided are appropriately billed (Sanderson and Burns 2020). Finally, documentation contributes to data that can be used for research, policy-making, and education, ultimately leading to advancements in healthcare practices (Pine et al. 2023).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThorough clinical documentation and subsequently good quality data is a cornerstone of effective healthcare practice, supporting patient care, legal protection, and systemic improvements within healthcare (Pedersen and Bossen 2024). To become data-driven it is necessary to generate, acquire, filter, validate, store, and visualize data as well as ensure that data is put into use (Pedersen and Bossen 2024). That is why we have seen the development of data professionals in healthcare who guide the use of data in the healthcare sector (Bossen and Bertelsen 2023).\u0026nbsp;However, patient management systems must also support healthcare professionals in adequately documenting their work. To support better clinical documentation, the systems have been developed with features such as reminders and alerts, visualization tools, checklists, and streamlined interfaces. Healthcare professionals make a vast number of decisions every day within the patient management systems based on rational deliberations of the available options. However, they are also influenced by the design of the choice environment in which information is presented, which can result in either a reflective or automatic response. Nudging theory, which derives from behavioral economics, acknowledges that the \u0026ldquo;choice architecture alters people\u0026rsquo;s behavior in a predictable way\u0026rdquo; (Thaler and Sunstein 2008). Small changes in the choice environment can influence people\u0026rsquo;s choices and \u0026ldquo;nudge\u0026rdquo; them into behaving in a certain way (Weinmann et al. 2016). For example, setting a default option to administer vaccinations to eligible hospitalized patients who do not decline them (Halpern et al. 2007).\u003c/p\u003e\n\u003cp\u003eDigital choice environments are often designed by trial and error, where best practices are copied from competitors and often modified ineffectively to have an unintended influence on the choice architecture, which ultimately impacts the decision-making of the users (Mirsch et al. 2018). This can result in \u0026ldquo;mindlessness\u0026rdquo; when designing and implementing digital choice architecture (Salovaara et al. 2019). The answer to designing without a clear goal lies in the consideration of responsibility. Responsibility allows us to evaluate transformational digital technologies and the use of digital nudging in a balanced manner, by factoring in both harmful and positive outcomes from the engagement with such artifacts (Voegtlin et al. 2022). A systematic approach to designing digital nudges, considering responsibility and ethics, should be the guiding light for designers when designing UI, UX, choice architecture, and digital services in general. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNudges are widely applied in public health policy (Murayama et al. 2023) and according to the OECD, more than 200 nudge units\u0026nbsp;exist worldwide (as of August 2018)\u0026nbsp;(OECD 2022). Some of these units specialize in healthcare policy and systematically develop and test approaches using nudges to improve healthcare delivery (Patel et al. 2018). The computer-supported cooperative work (CSCW) is concerned with systems on which users generally have great influence. It recommends a step-by-step evolutionary approach (Ellingsen et al. 2022; Fitzpatrick and Ellingsen 2013) with a clear focus on the stakeholders involved, especially the users but also developers and other stakeholders. In this study, we investigate how reminders and alerts, visualization tools, checklists, and streamlined interfaces support better clinical documentation when part of the workflow of healthcare professionals using a newly developed mobile application. We interview designers, developers, and the users of the new digital workflow. We will also shed light on whether elements from the design can be categorized as nudges or digital nudges, and consequently examine whether there are opportunities to\u0026nbsp;implement digital nudges in a targeted manner in the software development of hospital systems.\u003c/p\u003e\n\u003cp\u003eEmpirically, we investigate the introduction of a new mobile application designed and developed for healthcare professionals as an extension to the patient management system, to improve documentation by allowing bedside recording in real-time. Lightweight IT such as mobile applications has provided users with instant value for improving the workflows of healthcare professionals without the need for demanding and comprehensive reorganization of work practices (Severinsen et al. 2022). The mobile application features two key functionalities. Firstly, \u003cem\u003eSecurity Check\u003c/em\u003e for inpatients, which facilitates either a start of the shift checklist that a healthcare professional answers while observing the conditions of a patient at the beginning of each shift, or a regular checklist that a healthcare professional answers at fixed intervals during a shift. Secondly, \u003cem\u003ePhoto Documentation\u003c/em\u003e enables clinical photo documentation through the mobile application, feeding the data directly into the electronic health records (EHRs). The motivations behind photo documentation in clinical settings are various. Photos are taken to document the development of healing wounds or other visible symptoms, to share progress with specialists who might not be on-site or currently available, for educational purposes, and to receive consultations. The photos also become part of patients\u0026rsquo; medical health records which belong to the patients and are available to them on request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThese two features of the mobile application are designed to encourage better documentation, support enhanced patient security, and maintain a history of patient symptoms. The mobile application design and development started in May 2022 and has continued with an iterative approach. The current iteration has been adopted by four departments in [hospital name blinded for review]. By exploring the current workflow, identifying areas for improvement, incorporating user feedback, and evaluating usage, this paper aims to evaluate the mobile application\u0026rsquo;s usability, efficiency, and effectiveness in nudging healthcare professionals toward improved documentation practices. To understand the impact of a mobile application on clinical documentation practices we ask the following question:\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u003cem\u003eHow to improve clinical documentation practices with a mobile application?\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe main contribution of our paper is two-fold: (i) thick descriptions outlining the need for careful design of mobile applications when realizing those in complex digital health contexts and\u0026nbsp;(ii) conceptual contributions outlining the way digital nudging impacts the work of healthcare professionals.\u003c/p\u003e"},{"header":"2 Related work","content":"\u003cp\u003eIn order to target our research question, we will first provide the lay of the land of the literature on digital health technologies, followed by a section on digital nudging in healthcare, and lastly, co-design with healthcare professionals.\u003c/p\u003e\n\u003cp\u003e2.1\u0026emsp;Digital Health Technology\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eInformation infrastructure in healthcare often consists of large heavyweight IT constellations that are becoming increasingly complex and rigid, requiring extensive time and effort to facilitate change and to meet innovation needs (Ellingsen 2024; Severinsen et al. 2022). The integration of digital health technology (hereinafter DHTs) has become more prevalent in the healthcare industry, revolutionizing the way patient care is delivered (Mahajan et al. 2021; Oddsson et al. 2022). DHTs refer to the use of digital platforms, connected sensors, and mobile applications to enhance patient lives and work within healthcare settings (Sharma et al. 2018). Increasingly, lightweight IT applications, complementary to the existing heavyweight IT, are entering the e-health field. These innovative and agile applications support immediate user needs and work processes, with simple applications like apps (Bygstad 2017). With the rise of DHTs and lightweight IT, healthcare professionals are presented with new opportunities to streamline workflows, enhance the quality of care, and improve overall efficiency within clinical settings (Rosenlund et al. 2023). However, with these developments come unique challenges and considerations concerning the usability, functionality, and integration of lightweight IT with existing healthcare practices (Yeung et al. 2023; Giebel et al. 2023).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWhen it comes to the work of healthcare professionals, they encounter multiple challenges in their daily tasks, as their work environment is unique and paved with responsibilities. A nurse\u0026rsquo;s work environment is often described as fast-paced and unpredictable, with nurses experiencing a particularly heavy cognitive workload (Kalisch and Aebersold 2010; Grisot et al. 2019). Physicians also encounter a high cognitive load during their work, but bearing the responsibilities of patient care is less taxing with the use of DHTs (Vallo Hult et al. 2020). Given the fundamental role that healthcare professionals play in patient care, they must maintain both physical and psychological well-being, as stress and burnout are unfortunately common issues among this group (Costa and Pinto 2017; Borges do Nascimento et al. 2023). Documentation consumes a significant amount of time from healthcare professionals, detracting from direct patient care (Momenipour and Pennathur 2019). However, DHTs that enable bedside, or point-of-care documentation have been shown to reduce documentation time and increase efficiency compared to central stationary desktop documentation (Poissant et al. 2005). Similarly, the use of checklists has improved compliance with guidelines in various clinical settings which positively impacts healthcare settings in general (Boyd et al. 2017; Thomassen et al. 2014).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHealthcare settings globally have increasingly integrated smartphone photography into their routine practices for patient rounds, consultations, and intra-operative evaluations (Park et al. 2019). This adoption has shown benefits in enhancing communication among and within medical teams (Rodriguez-Feliz and Roth 2012). Notably, the adoption of mobile applications for clinical photo and wound documentation has resulted in benefits such as saving time, enhanced patient safety and quality of care, improved data security, and better accessibility (Jacob et al. 2020). Successful integration of these mobile applications into clinical workflows can lead to enhanced collaboration, transparency, and clinical empowerment, which require engaging users in the design, development, and adoption process (Jacob et al. 2020). They span a wide range of uses, from applications used within hospital settings to preventive care, used outside of the boundaries of healthcare (J\u0026oacute;hannsd\u0026oacute;ttir et al. forthcoming). DHTs, which are used to enhance the work of healthcare professionals, can be targeted toward alleviating the cognitive load of memorizing in fast-paced environments (Islind et al. 2021). Those types of DHTs have proven revolutionary in recent years, to enhance record keeping (Ellingsen et al. 2024). While many studies have focused on the impact of the electronic health record (EHR/EPR) on healthcare work in general, there are limited studies that focus on novel additions to enhance the user experience and usability of the EHR (M\u0026ouml;rike et al., 2024). Moreover, there is a gap in the literature concerning the feasibility and user experience to evaluate how lightweight IT built as extensions to the legacy systems of EHR, impact the work of healthcare professionals.\u003c/p\u003e\n\u003cp\u003eThere are a few elements that are pivotal when it comes to documentation in healthcare. One such element is clinical photography, which plays an important role in documentation within healthcare settings. The ability to take pictures has changed how healthcare professionals describe a clinical condition and track the progression of a patient\u0026rsquo;s trajectory over time (Reinders et al. 2023). These features, embedded within mobile applications, are mainly used in dermatology, and offer a two-fold benefit. First, the patient can self-document their skin examination. Second, the work of healthcare professionals is significantly enhanced as it allows for bedside documentation which reduces cognitive load (Park et al. 2019). The benefits and functions of photo documentation through mobile applications can extend to almost any specialty within healthcare e.g., documenting the progression of wound healing (Harting et al. 2015). However, using smartphones for this purpose can raise privacy issues as it can entail the risk of unauthorized access and disclosure of sensitive patient information (Perwej et al. 2022). To address these concerns, studies have been conducted on mobile applications that securely capture and transfer clinical or medical images to the EHR, therefore complying with privacy laws (Landman et al. 2015; Wyatt et al. 2020). For instance, a study by Landman et al. (2015) revealed positive feedback from participants, emphasizing their utility in clinical practice. Similarly, Wyatt et al. (2020) evaluated patients\u0026rsquo; attitudes toward photography using a secure mobile phone application, indicating favorable attitudes among patients.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e2.2\u0026emsp;Digital nudging in healthcare\u003c/p\u003e\n\u003cp\u003eThe concept of nudges originated in the behavioral economics discipline and in recognition that when faced with prediction problems,\u0026nbsp;decision-makers\u0026nbsp;often rely on simple heuristics or rules of thumb. This sort of reliance tends to result in cognitive biases, or predictable distortions in decision-making that can ultimately result in suboptimal outcomes (Thaler and Sunstein 2008; Tversky and Kahneman 1974). Nudges shape behavior due to well-known flaws in human decision-making, such as status quo bias, or an aversion to change, and omission bias, or where people tend to fear making a wrong choice (errors of commission) more than missing out on a better one (errors of omission) (Baron and Ritov 1994; Tversky and Kahneman 1991). While the initial wave of nudging studies targeted mainly the adoption of healthier behaviors by individuals considering exercise (Forberger et al. 2019; Ledderer et al. 2020), eating (Wilson et al. 2016; T\u0026oslash;rris and Mobekk 2019; Bucher et al. 2016), and quitting smoking (Sunstein 2015), nudging is now increasingly being perceived as a policy strategy to improve public services (Halpern 2016; Bache et al. 2016) like the healthcare system (Patel et al. 2018).\u003c/p\u003e\n\u003cp\u003eHealthcare systems are however notorious for their complexity and conservative culture making change management rather challenging (Wensing et al. 2020). Because of its complexity, change management in healthcare requires more nuanced and well-thought-out interventions instead of top-down strategies, such as issuing more policies, prescribing more regulations, and introducing more stringent performance indicators (Braithwaite 2018). While nudging has been increasingly discussed and used for patients and citizens, there has been less focus on the use of nudging strategies targeting healthcare professionals (Sant\u0026rsquo;Anna et al. 2021). In a recent literature review, most of the studies had as their objective to change prescription and ordering behavior (Sant\u0026rsquo;Anna et al. 2021). They encountered various nudging interventions where common interventions included defaults/pre-orders, environmental cueing/priming, alerts/reminders, and peer comparison (Sant\u0026rsquo;Anna et al. 2021).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAnother systematic review explored the effectiveness of nudges as a tool to promote adherence to guidelines in healthcare (Nwafor et al. 2021). They developed six main nudging categories where nudging can be applied to promote adherence to guidelines. They are salience of information or incentives, understanding mapping, default choices, providing feedback, error reduction, and structuring complex choices. The most common nudging interventions were increasing salience of information, providing feedback, or a combination of these both. Their review covered 50 inpatient settings and 30 outpatient settings where most of the studies conducted reported improved adherence to the guidelines by care providers \u0026ndash; inpatient (70%) and outpatient (83%) (Nwafor et al. 2021). In their assessment, they found compelling evidence that nudges are an effective tool for promoting adherence to guidelines. They also observed that the literature is primarily focused on whether nudge interventions work, with little consideration for organizational issues such as\u0026nbsp;\u003ca href=\"https://www.sciencedirect.com/topics/nursing-and-health-professions/cost-effectiveness-analysis\" title=\"Learn more about cost effectiveness from ScienceDirect's AI-generated Topic Pages\"\u003ecost-effectiveness\u003c/a\u003e, impact on healthcare workers, and disruptions of established workflows and routines (Nwafor et al. 2021). Furthermore, digital nudging is an approach where people\u0026apos;s cognitive biases are actively used and applied to the design elements in the user interface (UI) to affect the choices of users in digital health technologies (Mirsch et al. 2017; Schneider et al. 2018). The nature of digital health technologies allows for scalable and readily available solutions for patients and healthcare professionals, and digital nudging can be embedded within those.\u003c/p\u003e\n\u003cp\u003e2.3\u0026emsp;Co-design with Healthcare Professionals\u003c/p\u003e\n\u003cp\u003eIn organizations with complex work practices, such as hospitals, it is generally recognized that only the users themselves know the practice sufficiently well to be able to assess the suitability of the system (Malm-Nicolaisen et al. 2024).\u0026nbsp;Inclusion in design can take many forms. One such form is through user testing. User testing plays a crucial role in ensuring the usability and effectiveness of DHTs (Brewer et al. 2020). Several aspects have proved important when it comes to user testing. Firstly, it is important to employ a mixed-method approach (e.g. use of qualitative and quantitative viewpoints) during user testing and usability evaluation to achieve a broad and deep understanding (Carayon et al. 2015). Secondly, having sector-specific customizations plays an important role because the healthcare sector in particular faces many barriers to adopting new technologies such as system barriers, infrastructural barriers, resource barriers, tradition, and image barriers (Iyanna et al. 2022). Finally, involving the target user group early on is imperative, as their feedback will help optimize the design and usability before development progresses too far in the wrong direction (Woodward et al. 2024). Moreover, the literature is paved with examples stating that involving patients and healthcare professionals in co-designing DHTs is essential for their success (Sigur\u0026eth;ard\u0026oacute;ttir et al. 2024). There is a need to involve all stakeholders, both direct and indirect, to address the complexity of healthcare systems and accommodate emergent challenges that DHTs intentionally or unintentionally bring about (Papoutsi et al. 2021). That focus, outlined in the literature on heavy user involvement during design alongside the benefits of mixed-method approaches during user testing, heavily influenced the chosen methodology for this paper.\u003c/p\u003e"},{"header":"3 Method","content":"\u003cp\u003eIn this paper, we adhere to the interpretive research tradition (Klein and Myers 1999; Walsham 1995) to gain insights into human thought and action in a specific organizational context. We start this section with an introduction to the empirical context, followed by outlining the methods for user testing and interviews, as well as the approach for the quantitative analysis.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e3.1\u0026emsp;Empirical Context: [hospital name blinded for review] Digital Health Platform\u003c/p\u003e\n\u003cp\u003eIn 2008, the IT department at [hospital name blinded for review] began the process of integrating silo-systems to create an integration layer connecting over 70 clinical systems and 9000 medical equipment. That integration layer made it possible to design and develop a web application for healthcare professionals. The web application is called [name of application blinded for review] and gives healthcare professionals access to information in real-time, in one place in an ordered manner. The products within the web application include an electronic whiteboard that displays a real-time overview of all inpatients for the relevant department, workspaces for healthcare professionals and departments where lab results are shared in real-time, and a patient management site for remote patients which displays real-time information about patients. These are only a few products that have been developed within the [name of application blinded for review] web application. In 2022, development began on a mobile application for both clinical and non-clinical employees of the hospital. The mobile application is called [name of application blinded for review] and allows the transportation services at the hospital to manage their tasks. Healthcare professionals at the hospital can complete various checklists and upload photos directly from smartphones or tablets to EHRs.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe personnel in the transportation services at the hospital all belong to a single department and it was evident after the first release of the mobile application that its functionality would only be adapted to a small section of the hospital. That is why the design and development team of the mobile application decided to develop features that would be useful across different departments. The pain point of not having an easy and secure way to transfer photos to the EHRs was frequently raised by doctors, nurses, and nurse associates across the hospital. After meeting with four nurses in the roles of heads of departments another point emerged with the security checks that were performed every two hours for inpatients. This was a task that was performed 24 hours a day and the nurse associated performing the tasks would either write the results on paper or simply just mark a checklist as \u0026ldquo;complete\u0026rdquo; in a desktop application without going through all the steps of the checklist. Other reasons for developing the security checks were because they were bedside documentation which were considered convenient to perform on a mobile application.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe mobile application is currently in use at four departments at [hospital name blinded for review] and is being prepared for further adoption in all hospital departments. The mobile application is an extension to the EHRs that healthcare professionals use throughout their work at the hospital, but the application brings the option of mobility and documenting at the bedside in real-time. The features that this paper focuses on designing, developing, and evaluating within the mobile application are \u003cem\u003eSecurity Checks\u003c/em\u003e and \u003cem\u003ePhoto Documentation\u003c/em\u003e. Security Checks involve a safety checklist performed at the beginning of each shift and subsequently repeated at regular intervals, such as every 2 hours, for inpatients. It aims to enhance and ensure patient safety. Photo Documentation allows healthcare professionals to take photos and send them safely to the patient\u0026apos;s EHRs to document patient trajectories, such as wound progression and other similar issues that may warrant photo documentation.\u003c/p\u003e\n\u003cp\u003eWe performed this study in two phases after receiving permission from the hospital\u0026apos;s Administrative Research Ethics Committee. In the first phase, we conducted a usability analysis on a relatively new mobile application designed and developed with and for healthcare professionals. The application allows bedside documentation in real-time that exports data directly into the EHRs. We evaluated the users\u0026rsquo; attitudes and gathered ideas for enhancing the mobile application\u0026rsquo;s functionality with short ten-minute interviews. We also applied the most used methods in evaluating and testing DHTs, which are questionnaires, i.e. the System Usability Scale (SUS), combined with semi-structured interviews and heuristic evaluations (Maqbool \u0026amp; Herold, 2023). In the second phase, we evaluated the usage of the application by healthcare professionals in a field study. We inspected the user logs of the desktop version of the EHR system for three months, before the application was implemented, and compared that with the usage of the mobile application for three months after the implementation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e3.2\u0026emsp; Interviews and usability analysis\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe department visits started with the head of nursing gathering available healthcare professionals to test the application and be interviewed the author 1 and 2 of this paper. The participants were selected for the field study based on their availability at the time of testing. In the process of accepting to participate in the field study participants were made aware that they could drop out at any time during the process. No one dropped out and we received answers from 21 participants from four different departments within the hospital. The age range was 21-58 years old, with a mean age of 38 (SD 9.81). The participants represented different clinical roles, including eleven nurses, seven nurse associates, one doctor, one medical student, and one specialized employee. We asked the participants to perform user testing cases, a demographic and background information survey, and the standardized questionnaires System Usability Scale (SUS) and AttrakDiff. The user test cases were: (i) Take a photo, write a description, and send it to the patient\u0026apos;s records, (ii) Complete a security checklist at the beginning of a shift, (iii) Complete a regular security checklist, and (iv) Log out of the application. While performing the above tests, the healthcare professionals were encouraged to use the think-aloud techniques, expressing any thoughts that came up during the tests out loud (L\u0026aacute;rusd\u0026oacute;ttir 2009). We observed how the tasks were performed and noted whether they went smoothly or if there were any issues in the process. Following the test cases, participants were asked to answer three questionnaires: SUS (to measure usability), AttrakDiff (to measure user experience), and demographic and background information questionnaire. After each session, we encouraged open communication to elicit participants\u0026apos; feelings about the application, their observations regarding potential opportunities for improvement, and their assessment of the application\u0026apos;s compatibility with their current workflow. Based on their feedback changes were made to the application in the next three releases. Three months after the implementation of the mobile application we visited the wards again to gather feedback about their experience for the past three months. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e3.3\u0026emsp; Quantitative measurements\u003c/p\u003e\n\u003cp\u003eEven though the mobile application was being adopted in a few departments within the hospital, we decided to focus our field study on only two departments where the protocol for documentation included either security checks or photo documentation. We measured the documentation with the new workflow for three months after the adoption and compared that to the documentation three months before introducing the new workflow.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e3.2.1\u0026emsp;Electronic whiteboard and security checks.\u003c/em\u003e For the measurements of the new workflow, we measured the documentation of security checks in a particular inpatient department. Security checks are usually performed by a nurse associate. At the beginning of all shifts, patients are assigned to the nurse associate using the electronic whiteboard. The electronic whiteboard displays the name of the patient, the patient\u0026apos;s location, the time of the last security check, a countdown to the next security check, and finally the name of the assigned nurse associate. If the security check is not performed on time the field displaying the countdown will turn red. The electronic whiteboards are displayed on a large screen visible to all healthcare professionals in the inpatient department. The checklist for the beginning of the shift includes seven multiple-choice questions concerning the patient\u0026rsquo;s condition and the regular checklist includes eleven multiple-choice questions. Healthcare professionals carry their mobile work phones with the application installed during security checks. First, they identify the patient by scanning the barcode on their wristband or entering their SSN. Once confirmed, they will proceed with the security check and simultaneously fill out the checklist in the application and send it. Subsequently, the security check is readily available in the patient\u0026rsquo;s records.\u003c/p\u003e\n\u003cp\u003eWith this new workflow, we anticipate an improvement in the timeliness of registering information from security checks, ensuring close to real-time documentation. In the evaluation of the timeliness of security checks, we focused on a single inpatient department as their standard of care is to perform a security check every two hours for every patient. We compared the completed security checklists in the period before the implementation of the mobile application to the period after the implementation. Additionally, we expected this streamlined process to expedite task completion for healthcare professionals, reducing documentation time and improving efficiency. We measured the time it takes to complete a security checklist on a desktop and compared that to the mobile application. We also evaluated the difference in the number of security checks performed daily, for a department full of patients. We compared the average number of security checks for the three months before introducing the mobile application to the three months after the introduction of the mobile application. We expected enhanced accuracy in the registered information, improving efficiency and patient safety. Unfortunately, we could not evaluate the changes in the quality of the exact answers to the security checklist questions concerning the conditions of the patients, as that would require us to access patients\u0026rsquo; medical records. To evaluate the adoption of the mobile application for the inpatient department we compared usage logs with a list of all healthcare professionals on duty at this inpatient department responsible for performing security checks. We measure the impact on documentation as well as the impact on healthcare workers, and disruptions of established workflows and routines.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e3.2.2\u0026emsp;Photo Documentation.\u003c/em\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eWe focus on a single outpatient department that is heavily reliant on photo documentation. We analyzed the photo documentation of three nurses over a six-month period where they uploaded hundreds of photos. For the first three months, they did not have access to the mobile application and for the last three months, they had the option to also use the mobile application. Healthcare professionals use the application on their work or personal mobile phones and take photos through the application. First, they identify the patient either by scanning the barcode on their wristband or entering their SSN, then confirm that this is indeed the right patient. A camera interface appears, allowing them to take photos, add comments, and upload them to the EHR. The photo is never saved on the device locally as it goes straight from the application to EHRs. With this new workflow, we hoped that taking photos within the hospital would be an easier and less time-consuming process. We started by measuring the time it takes to add photos to EHRs using the old approach compared to the mobile application. We evaluated changes in the number of patients who were photo-documented three months before the introduction of the mobile application and compared that to three months after the application was integrated into the process of the outpatient department. We measured the average number of patients being photo-documented during a day shift. We also measured the number of photos that were taken per patient every day. The mobile application is expected to enhance data accuracy as the new process makes it less likely to mix up photos. It will also increase the safety of vulnerable data about the patient since it will no longer be stored on any phone as it will only be stored as part of EHRs. Below are screenshots from the application. Figure 1 shows the home screen, where to access Security Checks and Photo Documentation, and the patient\u0026apos;s authentication by social security number (SSN) or scanning a barcode.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAs mentioned above, these are the initial steps the user takes when engaging with the application. In Figure 2, the first two screenshots show Security Check and the third shows Photo Documentation.\u003c/p\u003e"},{"header":"4 Results","content":"\u003cp\u003eIn this section, we will present the results of our field study. Starting with the main themes that emerged from the interviews, followed by the results of the usability scores, and closing with the results measuring the impacts of clinical documentation comparing the desktop process to the mobile application.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e4.1\u0026emsp;Main themes from the interviews\u003c/p\u003e\n\u003cp\u003eWe interviewed the participants at the outset of the implementation process and three months after introducing the mobile application into the workflow. We have summarized the results from the initial interviews in Table 1 below.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1.\u0026nbsp;\u003c/strong\u003eThe main themes from the initial interviews\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMain theme\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eContext\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eNew features\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eUsers expressed interest in multiple new features, which underscores the interest and functionality of a mobile phone application for healthcare professionals within the hospital. Suggestions include accessing digital guidelines for each patient, comparing photos to track wound progression, receiving notifications for security checks, and performing various medical procedures such as risk assessment, tube feeding, high-flow oxygen therapy, and drainage. Additionally, users requested features for registering and monitoring the settings for medical devices and tracking food and water intake. This was well outlined by one physician during the testing:\u003cem\u003e\u0026nbsp;\u0026ldquo;It would be great to have a better interface in the medical record system to compare images. So that you can set two photos side by side or look at trends in a simple way over time.\u0026rdquo; (Physician)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eDisplaying data in EHRs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eHealthcare professionals expressed concerns about how photos are displayed in patient records and underscored that they must be easily found and accessible. Some suggested that the comment should be the title of the photo.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003ePhoto quality and features\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eHealthcare professionals highlighted the importance of photo quality, that it was necessary to use the photos in clinical evaluations, and requested additional features such as zoom and flash capabilities for the camera. They also emphasized the need for photos to be safely stored in case something goes wrong so they can be uploaded later. Improvements in wristband scanning were also suggested. The high quality was outlined as particularly important when documenting wounds: \u003cem\u003e\u0026ldquo;As we are dealing with wounds we need to have high-quality photographs. We also need to zoom because we do not want to get too close to the patient\u0026rsquo;s skin.\u0026rdquo; (Nurse associate -1)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eLanguage options\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eSome users expressed the need for language options. At the time of the initial interviews, the application was only available in a specific Nordic language, but English would accommodate non-native speakers who use the application.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eSafety and professionalism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eHealthcare professionals raised concerns about using mobile phones for professional purposes, mentioning professionalism and patient perception as key considerations. One department preferred using the application on tablets instead.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThree months after the implementation of the mobile application we interviewed the healthcare professionals from the departments where we analyzed the usage and asked them about their experience using the application. The results of the interviews are summarized in table 2 below:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u0026nbsp;\u003c/strong\u003eMain themes from the interviews three months after implementation\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMain theme\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eContext\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eLimited utility\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eThey complained that there were only two types of tasks they could perform using the mobile application. \u003cem\u003e\u0026ldquo;If it was possible to do more tasks in the app, we would be at the point where staff would not go anywhere without the ward phone.\u0026rdquo; (Nurse - Head of Department).\u0026nbsp;\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eNetwork effect\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eMentioned it would benefit them if the app was more widespread. A nurse stated \u003cem\u003e\u0026ldquo;It would be much better for us if most departments in the hospital used the app. We often need to give consultation and we then ask the relevant personnel to add a picture to the medical records. We sometimes get an answer that they don\u0026apos;t know how to do that. In the future, they could simply use the app.\u0026rdquo; (Nurse - 1).\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eEase in photo documentation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003e\u003cem\u003e\u0026ldquo;With the old method, you were sometimes scrolling through a lot of pictures on the phone. It could take time to find the right image to upload to the patient\u0026rsquo;s file.\u0026rdquo; (Nurse - 1)\u0026nbsp;\u003c/em\u003eAnother nurse said she was more likely to take photographs when using the novel feature, as it supported the work well:\u003cem\u003e\u0026nbsp;\u0026ldquo;I\u0026rsquo;m much more likely to take a photo of the patient than I was before. Today I photograph most of the patients coming through the outpatient reception.\u0026rdquo; (Nurse - 2).\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eDifferent workflow for the nightshift\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eThe use also called for new routines, such as rethinking the use of the app during the night, which posed some practical issues when the patients were sleeping:\u003cem\u003e\u0026nbsp;\u0026ldquo;We maybe need to think how to use the app at night. The staff does not stand over the patient\u0026apos;s bed to scan the wristband when the patient is asleep. There is a different usage at night, but they still want to use the app.\u0026rdquo; (Nurse - Head of Department).\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eGenerational aspects\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eInterestingly, some generational aspects were identified by one of the nurse associates, to highlight that the mobile application would gain traction to a larger extent in the coming years: \u003cem\u003e\u0026ldquo;Some staff are still using the desktop computer. All the new staff immediately started using the app. The old ones are still typing on the computer. The new and young people immediately took to the app.\u0026rdquo; (Nurse associate - 2).\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003ePeer comparison\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eAsked if they experienced peer comparison because statuses of completed / uncompleted security checks were visible to all via the electronic whiteboard, one nurse replied: \u003cem\u003e\u0026ldquo;I guess it depends on the ward. I don\u0026rsquo;t experience that in our department because we have very fragile patients and need to be at their side to take care of them anyway. But I can imagine that it matters more in departments where patients are more self-sufficient with their basic needs but may still need to be checked on. For example, at the psychiatric ward\u0026rdquo;. (Nurse \u0026ndash; 3).\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 26.2857%;\"\u003e\n \u003cp\u003eUnexpected advantages\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73.7143%;\"\u003e\n \u003cp\u003eWe encountered one unexpected advantage of the new mobile workflow. \u003cem\u003e\u0026ldquo;At the inpatient ward, we always use the scanner of the mobile application to scan the wristbands of the patients. It is a certain safety factor because some patients cannot communicate, and in that case, they must have a scannable wristband or just a wristband at all\u0026rdquo; (Nurse \u0026ndash; 3).\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eFrom the initial interviews, we received comments about the features of the mobile application as well as ideas on additional features. What also emerged were ideas of how we could better adjust the web application, that healthcare professionals use on desktops, to accommodate the photos sent by the mobile application. Three months after the implementation of the mobile application, healthcare professionals expressed concerns that the utility of the mobile app was limited, but in general they were pleased with the features that were already in the app. Concerning elements of the design that could be categorized as nudges or digital nudges, we received mixed results. Based on the results from the interviews, the streamlined interface of the photo documentation did encourage more frequent photo documentation. However, the elements of peer comparison embedded in the electronic whiteboard in the security check workflow did not appear to change the behavior of the healthcare professionals. These key themes provide valuable insights into users\u0026apos; preferences, concerns, and suggestions for improving the application\u0026apos;s functionality and usability. Addressing these themes can help enhance users\u0026apos; satisfaction and optimize the effectiveness of healthcare professional\u0026rsquo;s workflow and patient care. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e4.2\u0026emsp;User testing the usability analysis\u003c/p\u003e\n\u003cp\u003eWhen introducing the application to participants we kindly asked them to complete the following tasks: (i) Take a photo, write a description, and send it to the patient\u0026apos;s records, (ii) Complete a security checklist at the beginning of a shift, (iii) Complete a regular security checklist, and (iv) Log out of the application. All participants successfully completed all assigned tasks with ease, indicating a generally intuitive interface. During the testing of the Security Check feature, all participants completed the checklist smoothly, without encountering any notable difficulties. This suggests that this feature is intuitive and efficient. Participants navigated the log-out process with ease, indicating a straightforward system for logging out. While testing the Photo Documentation feature, two participants encountered a minor issue: They accidentally deleted all photos while navigating through the process, resulting in the need to retake the photos. Additionally, it was observed that only four participants were aware of the functionality for taking multiple photos in a row.\u003c/p\u003e\n\u003cp\u003eThe results from the standardized questionnaire to measure usability, the System Usability Scale (SUS), revealed the application\u0026apos;s average score of 72.7 (SD 23.4), corresponding to a grade of B or good usability. To put this number into perspective, the average SUS score is 68, with a score of 75 indicating superior performance, surpassing 73% of other products. The results from the standardized questionnaire to measure user experience, the AttrakDiff questionnaire, revealed that the application scored between 1.1 and 1.4 on all subscales (Figure 3). The AttrakDiff questionnaire evaluates users\u0026apos; perceptions of a product or service across four subscales: Pragmatic Quality (PQ), which assesses usability and functionality. Hedonic Quality - Stimulation (HQ-S) measures simulation and engagement, Hedonic Quality \u0026ndash; Identity (HQ-I) evaluates the alignment with the user\u0026rsquo;s identity, and Attractiveness (ATT) provides an overall product appeal. The user experience questionnaire results indicate that users perceive the product as moderately usable and efficient (PQ mean = 1.35); this is one of the most important subscales for this product to score well on because it measures pragmatic quality, so there is room for improvement. While users find the product somewhat stimulating and engaging (HQ-S mean = 1.15), this subscale is not a focus point for the product. Alignment between the product and users\u0026apos; identity or values could be improved (HQ-I mean = 1.16). Overall, the product receives a positive impression in terms of attractiveness and value (ATT mean = 1.41), suggesting its potential appeal to users.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e4.3\u0026emsp;Impact on Documentation of Security Checks\u003c/p\u003e\n\u003cp\u003eThe Head of the Department at the inpatient ward, where we analyzed the usage of security checks, encouraged the usage of the mobile application. After three months of using the mobile application, we observed that 26 out of 33 healthcare professionals used the application at some point during the implementation period (79%). Usually, five nurse associates, responsible for security checks, are on duty every day. We saw a significant difference in the number of logins between weekdays and weekends. During the work week on average, 2.27 (SD 1.1) out of 5 nurse associates logged into the application daily, while there was a significant drop to only 1.27 (SD 1.3) nurse associates that logged into the application daily during weekends. There was a significant difference between the usage between weekdays and weekends (p 0.0036). This could be explained by information about the new workflow not being delivered properly to nurse associates working weekends, who are often replacement staff.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe observed no significant difference in the number of security checks documented during the three months before the implementation of the mobile application compared to the period after the implementation. We also observed no difference in the time spent completing security checks. We analyzed the user logs of nurse associates at the inpatient department to measure the difference in timeliness using the desktop process compared to the mobile application. The security checks should be performed every two hours, and we measured the delta of the deviation. The average delta using the desktop process was 29 minutes and 46 seconds (SD 19 min. and 45 sec.). The average delta was 27 minutes and 33 seconds for those in the department using the mobile application (SD 19 min. and 52 sec.), where 24.6% performed security checks within the 0 -10 minute range from two-hour intervals. This is a significant decrease in delta of 7.5% (p 0.0046). Results of the deviation is presented in Figure 4 and the statistical tests are summarized in Table 3.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u003c/strong\u003e Changes in documentation at the inpatient ward\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe inpatient ward has space available for nineteen patients in hospital beds. During the observational periods, all beds were occupied, and additional patients were cared for in the ward corridor. That means that the security checklist needed to be performed around 1850 times during a week. In [hospital name blinded for review], this standard of care is maintained across 23 departments while our study outlines an adoption across a few of those.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e4.4\u0026emsp;Impact on Photo Documentation\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLooking at the usage of the Photo Documentation feature, three nurses work at the reception in the outpatient department, and all of them switched completely to using the mobile application after implementation. We started by measuring the time it takes to go through the old process of sending photographs compared to the new process. We asked the nurses how long the old process would usually take them, and they mentioned around 2-5 minutes. We looked at the user logs of the EHRs system and saw that the uploading of photographs with the old process took these nurses on average 2 minutes to complete (SD 1 min. and 46 sec.). The process with the mobile application took an average of 10.8 seconds (SD 4.4 sec.). A paired t-test shows there is a significant difference in the time it takes the nurses to use the desktop process compared to the mobile application (p 0.0066).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe analyzed the number of patients that the nurses in the outpatient department would photograph during their day shifts. In the three months before the mobile application was implemented, they took photos on an average of 2.9 patients per day shift (SD 1.75). In the three months after implementation of the mobile application the number of patients photographed increased to an average of 4.0 patients on every dayshift (SD 1.83). This is an increase in the number of patients photographed by 39% which is a significant difference based on the paired t-test (p 0.0021). We also analyzed the number of photos documented for each patient. In the period before the implementation of the mobile application an average of 2.0 photos per patient (SD 1.71). After the implementation of the mobile application, there was a slight but insignificant decrease of 10% in the number of photographs taken for each patient resulting in 1.8 photos per patient (SD 0.62). Results are summarized in Table 4.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u003c/strong\u003e Changes in documentation at the outpatient ward\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The outpatient ward is open four days a week and treats 20-40 patients every week. Based on measuring the time it takes to send a picture with the application there is considerable timesaving for the three nurses that handle the reception. The mobile application saves the outpatient department between 36-73 minutes per week. That time could be used by the nurses to care for the patients that they see every week instead of spending it in front of a computer screen. The estimated time saving for the whole hospital is 10 hours daily with the most potential impact on dermatology, gynecology, and gastroenterology.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"5 Discussion","content":"\u003cp\u003eAs DHTs and lightweight IT continue to transform the healthcare system, engaging healthcare professionals in the design and development process is imperative. Their first-hand experience and deep understanding of both the work environment and patient\u0026rsquo;s needs are vital in ensuring the successful development and adoption of DHTs (Troncoso and Breads 2021). Healthcare professionals have found these tools to integrate well into their work routines, improving task efficiency while also enhancing and securing the quality of care. Moreover, healthcare professionals generally hold a positive view of DHTs (Mohsam 2024). Therefore, it is important to include them systematically during the design of the DHTs that will impact their work.\u003c/p\u003e\n\u003cp\u003eWe set out to answer the research question: How to improve clinical documentation practices with a mobile application? Even though the mobile application currently only has two features for healthcare professionals it has the potential to significantly impact the workflow of healthcare professionals. The healthcare professionals were in the loop and their participation outlines the focal point of this paper. The usability testing and feedback gathered in this study provided valuable insights into the current state of the application designed for healthcare professionals. Identifying areas of improvement in collaboration with healthcare professionals, this study set the stage for future developments and enhancements to the application\u0026rsquo;s functionality and usability. The results of the feasibility analysis included a good usability score close to 73, and positive user experience scores ranging from 1.1 to 1.4 on all subscale areas. Most user test cases were completed with ease indicating that the application has an intuitive interface well-suited for the hospital work environment. The interviews with the healthcare professionals raised valuable insights regarding the development of new features as well as their experience of using the application for the first three months. The new workflow with the mobile application significantly improved the documentation of security checks and photo documentation. The insights gained from this study can inform the ongoing development of digital health solutions within the hospital and other clinical settings. By comparing the findings from this project to existing literature in the field, we can identify common challenges, best practices, and opportunities for innovation. For instance, the integration of bedside documentation and checklists has been shown to improve efficiency and patient safety (Boyd et al. 2017; Poissant et al. 2005).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAlthough there is significant literature that has been composed in the past years outlining the impact of DHTs on healthcare in general, there is little focus to date on specific features within the DHTs itself. For instance, there has been limited focus on the impact of nudging on the users of DHTs (Sant\u0026rsquo;Anna et al. 2021). Nudging relies mainly on System 1 reasoning (emotional brain), which refers to quick, intuitive, and automatic responses, as opposed to System 2 reasoning (rational brain), which is a slower and more deliberative process. Nudges shape behavior due to well-known flaws in human decision-making, such as status quo bias, or an aversion to change, and omission bias, or where people tend to fear making a wrong choice (errors of commission) more than missing out on a better one (errors of omission) (Baron and Ritov 1994; Tversky and Kahneman 1991). Nudges can also alter people\u0026rsquo;s behavior with increases in ease and convenience (Sunstein 2014). The workflow with the security checks was embedded with digital nudges such as alerts when security checks needed to be performed and had components of peer comparison as the status of all patients and the names of the healthcare professionals were displayed on the electronic whiteboard. The new workflow had a significant effect on the documentation of security checks, but the healthcare professionals did not say they were impacted particularly by the nudges. The workflow with the photo documentation was reported by the healthcare professionals to be a much easier way to take photos and send them to the EHRs. We also saw a significant impact on documentation of the healthcare professionals after implementing the streamlined interface for photo documentation. This easy sharing of information has also been explored with other digital devices such as smart scales. Even though the user still has to step on the scale, or photograph the patient in our case, the easy instant sharing and filing of information can be categorized as a nudge (Valinskas et al, 2023).\u003c/p\u003e\n\u003cp\u003eIn light of that, our paper shows that the ease and convenience of a mobile application connecting to EHRs improves documentation practices significantly. This study focused on user engagement and co-design, which aligns with broader trends in digital health solution development. By actively involving healthcare professionals in design and testing, organizations can ensure that the technology meets end-users needs and integrates into existing workflows (Papoutsi et al. 2021; Troncoso and Breads 2021). Digital nudges in mobile applications could also apply outside the boundaries of healthcare, to other types of monitoring such as prison guards, equipment monitoring, production, or security guards. The local fire department also showed interest regarding the photo documentation feature of the app, both concerning ambulances, but also fire, surveillance, or other calls. What this paper sheds light on is the dynamic landscape of DHT (Yeung et al. 2023; Giebel et al. 2023). Particularly emphasizing its potential in enhancing patient care and streamlining clinical workflows. As healthcare professionals navigate daily work challenges, including heavy cognitive workloads and time-consuming documentation tasks, integrating innovative solutions becomes imperative. We also highlight the critical role of user engagement in designing and implementing DHTs, recognizing the valuable insight and perspectives that healthcare professionals bring to the development process. By using their firsthand experience and understanding of both the work environment and patient needs, alongside robust user testing methodologies, healthcare organizations can optimize the usability, effectiveness, and acceptance of digital health solutions. As the DHT industry evolves, collaboration between technology designers and developers, healthcare professionals, and patients will be essential in driving innovation and improving healthcare delivery for all.\u003c/p\u003e\n\u003cp\u003eFuture improvements should include implementing new features suggested by healthcare professionals, such as notifications for safety check-ins, clinical evaluation papers, and enhanced capabilities for medical procedures such as tube feeding and draining. Additionally, addressing the concerns regarding photo quality, storage, and display in patient records could improve usability and clinical documentation. Also, mitigating the perception of looking unprofessional when using a smartphone to gather or register medical information could be managed by placing a visible hospital logo on the work phones. By prioritizing user-centered design and iterative development cycles, the application can continue to evolve in response to changing user preferences and technology.\u0026nbsp;\u003c/p\u003e"},{"header":"6 Conclusion","content":"\u003cp\u003eMobile applications improve documentation. They do so with two specific use cases within healthcare. The design elements could be categorized as nudges or digital nudges. This study shows the need for careful design of mobile applications when realizing those in complex digital health contexts. Incorporating mobile applications into the work of healthcare professionals to perform bedside documentation significantly improves documentation, outlining better and more reliable data over time. There was no significant difference in the number of security checks performed but the impact on the timeliness was significant. The usage of photo documentation also increased significantly resulting in more patients being photographed during their treatment. Conclusively, our paper also shows that nudging through ease and convenience, facilitated by a mobile application connecting to EHRs improves documentation significantly.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eThe authors have no competing interests to declare that are relevant to the content of this article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e No funding was received\u0026nbsp;for conducting this study\u0026nbsp;or to\u0026nbsp;assist with the preparation of this manuscript.\u003c/p\u003e\n\u003cp\u003eEmployment LGJ and AT are employed at Landsp\u0026iacute;tali University Hospital.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eL.G.J and A.H.N.S wrote the main manuscript text, performed the field work, processed the results, and prepared the figures. 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Frontiers in Public Health, 11, 1196596.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Clinical documentation, a mobile application for healthcare professionals, evaluating healthcare technologies, nudging","lastPublishedDoi":"10.21203/rs.3.rs-5349727/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5349727/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eGood clinical documentation is important for patient safety, communication between healthcare professionals, legal protection, quality assurance, reimbursement, and research. In this study, we conduct a two-phased field study on a mobile application designed to support healthcare professionals in improving clinical documentation directly into Electronic Health Records (EHRs). First, we introduced the application to four hospital wards and conducted interviews, user testing, usability, and user experience testing. Second, we measured the application\u0026rsquo;s usage over three months and compared it to the three months before implementation. The results show that this mobile application significantly saves time for healthcare professionals and supports their clinical documentation practices. We also evaluate if embedding digital nudging into the design of the mobile application impacts healthcare professionals and their established workflows and routines.\u003c/p\u003e","manuscriptTitle":"Digital Nudging and its Impact on Healthcare Work: Improving Clinical Documentation with Mobile Applications","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-11 06:55:04","doi":"10.21203/rs.3.rs-5349727/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"fd6af7c4-d76d-4ce7-b3a5-8bb1538b0c1a","owner":[],"postedDate":"December 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-01-21T20:53:19+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-11 06:55:04","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5349727","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5349727","identity":"rs-5349727","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}