Abstract
Background: The application of drones in healthcare is a new concept being introduced in various
countries to fly medical supplies. Public perceptions have been investigated but the perceptions of
healthcare professionals on the frontline have not been explored. This study examined the
perceptions of emergency care providers in England and Scotland to determine how they believe
drones could be used when providing emergency care.
Methods
Frontline healthcare professionals were surveyed regarding their perceptions of drones
in emergency medical scenarios. A survey with 27 questions built on SNAP 11 was published on
social media for participant recruitment.
Results
Thematic analysis yielded insights into what healthcare professionals believe should be
flown in an emergency notably: blood, defibrillators, and medication. Drones are perceived to be
beneficial for life -threatening scenarios (high -risk, time -critical, trauma, search , and rescue
applications) and routine medical care such as delivery of medical supplies and minor
interventions. 100% of participants believed that providing medical care could benefit from a
drone flying to a remote area or directly to a patient. 76% believed that having a drone fly key
medical equipment faster could change the outcome of a patient. Scepticism regarding regulations
and logistics involved, as well as concern for drone -based medical care, were identified by
participants.
Conclusion
Drone use in healthcare remains an immature field and this study confirms that this
domain warrants further research. It is key to remember that the perspectives of those impacted by
the integration of drones will have to be explored to guide the application.
Keywords
drones, emergency, medical care
Acknowledgements
We would like to thank the participants of the survey and contacts that
helped with recruitment.
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2
Introduction
A drone, or unmanned aerial vehicle (UAV), is an aircraft without a pilot, guided remotely(1). The
first known UAV use was in 1849, as a violent act by Austria against Venice(2). Drones are
commonly used in warfare, with the USA deploying them in Afghanistan, and Ukraine using them
against Russia(3,4). Other applications for drones include surveillance, photography, mapping,
locating survivors and delivering supplies(5). Drones are attractive because they can bypass the
constraints and limitations of road transportation with various payloads, speeds and heights(5).
The novel application of drones in healthcare has thus far included flying medical supplies
such as vaccines, blood , prescription medicines, specimens and insulin in Africa, Europe, and
USA(5,6).
Covid-19 accelerated the usage of drones in the healthcare field , adapting UAVs to the
challenges experienced in lockdowns and maximised delivering testing samples, personal
protective equipment, and vaccines(7,2).
While d rones remain in their infancy stages within healthcare, UAVs are becom ing
increasingly appealing for emergency care settings.
Drones have successfully flown defibrillators to emergencies requiring immediate medical
care(2). In 2022, a man was saved in Sweden because a defibrillator was delivered by drone before
the ambulance arrived(8).
Investigations into flying organs by drone to decrease transplantation waiting times have
found successful deliveries of kidney and lungs (9). Lungs were delivered in 2021 in Toronto for
transplantation(10).
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3
One study was conducted in the United Kingdom (UK) investigating flying a medical
supply for an emergency case scenario(11). The study in Wales flew a defibrillator by drone in a
successful simulation in 2021(1 1). This prompted further research into drone development in
healthcare in the UK (11).
Public perception of drones is key to integrating drones into healthcare(1 2). Only one
study considered healthcare professionals’ acceptance of drones : examining what surgeons
thought about drones being used in the American organ transplantation context(13).
The current study targeted the requirement for further research on drones in healthcare. If
drones are to be introduced to the UK healthcare system, it is essential to assess perceived needs.
Public perceptions have been studied and trials have begun for operating drones; investigating
perceptions of what a drone can carry have not. This study explored how drones could benefit
medical emergencies in the UK through surveying emergency healthcare providers to determine
their needs and how they could be assisted by drones in emergency situations.
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4
Methods
The research question for the study was “how can drones be used in emergency care settings in
the United Kingdom?”.
This study explored potential uses and needs for drones in the UK when caring for a patient in an
emergency medical setting by:
• Administering a survey to investigate the perceptions of emergency healthcare
professionals working on the frontline.
• Identifying a list of items that emergency care providers believe would be beneficial to
have flown in a medical emergency.
• Analysing the data collected to create recommendations for future drone development in
healthcare.
• Informing future research for providing healthcare in the UK.
The survey was built on S NAP 11(14). It consisted of 60 questions, including multiple choice
questions, open -ended questions and six medical scenarios where participants were invited to
comment on what they would like a drone to carry to provide care to the patient.
The survey was distributed on social media platforms as they are a free recruitment tool and a
proven recruitment method(1 5). The research team posted on Twitter, LinkedIn , and Facebook,
for convenience sampling recruitment . Key contacts in the industry shared the link on their
platforms. Email was used to contact eligible charities and organisations that provide frontline
medical care. This survey was distributed throughout the UK, seeking representation from each
constituent country.
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Eligible participants (filtered via eligibility questions in the survey) were UK healthcare providers
over the age of 18. Consent was obtained electronically at the beginning of the questionnair e,
following an information landing page. Participants remained anonymous with the only personal
information being their profession, organisation, and country.
Ethical approval was received by the School Ethics Review Board (SERB) of the University of
Aberdeen for the Faculty Medicine, Medical Sciences and Nutrition, reference 2367.
It took six days until the recruitment of the first participant, despite analytics demonstrating high
engagement with the posts and clicks on the survey link. Feedback was received that the survey
was too long, and an amendment was submitted to SERB to remove 33 questions. The decision as
to which questions to keep or remove w as based on the three responses received. Among the 33
questions, three scenarios were removed. Approval was received and the revised shorter su rvey
was launched.
The quantitative data was analysed using descriptive statistics in percentages. The qualitative data
was analysed through Braun & Clarke’s thematic analysis methodology(1 6). The six steps were
applied to identify, extract and present the relevant themes provided by the participants in the open-
ended questions and the medical scenarios(16).
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Results
Table 1: Survey Overview Numbers
SNAP 11 does not provide analytics, so this was monitored regularly by noting the number of
viewers on the link when logging into SNAP 11 . As only th e viewers on the link at the time of
checking were noted, it is possible there were more than 207 viewers. There was a total of 17
participants, with an additional nine who began the survey but were not eligible based on their
response to the first question (asking whether they are an emergency healthcare worker). While
Wales and Northern Ireland were included in the recruiting strategy, no participants were yielded.
This research comprises only of England and Scotland.
Clicks on link 207
Respondents 17
England 11
Scotland 6
Wales 0
Northern Ireland 0
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Table 2: The medical professions of the participants involved in the study
Profession Number of participants
Medic 6
General Practitioner 2
Paramedic 2
Volunteer 1
Other: Doctor 3
Other: Care Assistant 1
Other: Medical Student 1
Other: Biomedical Scientist 1
Total 17
The participants were given a list of professions to select from and if they did not find their
profession, they could tick the box “other” and complete the box with their profession.
There was a mix of geographical locations from the respondents of urban, rural, or replying “other”
to include a mixture of urban and rural based on where they were sent to provide care.
When asked whether a drone could facilitate providing emergency care if it could fly to a
laboratory, 65% replied “yes” and 35% replied “no”.
When asked whether a drone could enable emergency care by flying to a remote location or to an
endangered patient, 100% replied “yes”.
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When asked in an open -ended question whether they believed having key medical equipment
brought to them faster during an emergency medical case could change the outcome of a patient,
76% replied yes. Within the other responses, a “yes” was written accompanied by something else
to provide some form of scepticism or concern such as:
“Yes, but I think this would be too heavy for a drone”.
“Yes - but dispatch would need to be super-efficient. Drones might fly fast, but if it takes 30
minutes for a technician to load, programme and launch the drone then you've missed the
boat”.
“Possibly, as long as it did not cause the air ambulance to crash, killing all inside”.
“Reduced time to first shock in defib use”.
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Table 3: Participant concerns & scepticism related to using drones in healthcare
Participants were asked a series of questions regarding concerns or scepticism they may have
towards the usage of drones and were invited to elaborate. Table 3 captures what was shared
regarding potential obstacles or fears associated with using drones. Many of the issues raised
involve establishing drones in the healthcare system such as airspace concerns and related
expenses.
Airspace Logistics Drone Traits Patient Care
Saturated airspace
Who operates the drones
and licensing Speed
Patient safety
Cost of using drones Range
Funding for the drones
Pollution
Major threat for air
ambulances and the
employees who fly
them
Time-constraint to deploy
the drones
Weather concerns Noise
Expenses related to using
drones
Battery-life
Accurate
dispatch for
pre-hospital
care (already a
current
challenge)
“Cultural and professional
barriers”
Risk to other aircrafts
Requiring clear and
specific instructions to
avoid misuse
Payload
Operational challenges Robustness
Liability
Drone failures
Collisions
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Figure 1: What participants would like a drone to fly in a medical emergency
The participants were asked to select as many options as they wished from a list. Defibrillators
and medication were the most popular responses with trauma-specific equipment and first aid
kits coming in third. “Other” included blood products, vaccines, intubation kit, warming/shelter
equipment, and small investigations such as an electrocardiogram.
13
12
9
9
7
6
5
5
5
5
4
3
Medical Items
Defibrillator
Medications
First Aid Kit
Trauma-Specific Equipment
Blood Samples
Time-Sensitive Samples
Medical Equipment to Care for Newborn
Organs
Samples
Other
Urine/Stool Samples
Sepsis 6 Bundle
Medical Items to be Flown by Drone
Participants
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Figure 2: Flowchart for Pre-Hospital Emergency Medical Cases
Life-threatening
High-risk case
Labour Medication
Uterine stimulant
Pain Relief
Overdose Activated Charcoal
Time-critical
Cardiac Cardiac Arrest Defibrillator
Respiratory Anaphylaxis Medication
(Epinephrine)
Infection Sepsis Antibiotics
Trauma
Catastrophic
Haemorrhage or
Hypovolemia
Blood
Head Injury Airway Kit
Entrapment Trauma Equipment &
Blood
Search & Rescue
Location
Rural
Remote Mountain Rescue
Natural Disaster
Thermal Imaging
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Figure 2 shows the themes extracted from the survey and addresses the medical emergency nature
that drone-based care might provide. The umbrella term “life-threatening” is divided into four case
categories: high -risk, time-critical, t rauma, and search and rescue. Within each category,
participants provide a medical condition paired with the appropriate medical equipment to be
flown. A trauma patient entrapped with severe blood loss can have the drone fly trauma specialised
equipment and blood products to the team to keep the patient alive until transport to a hospital.
While a patient experiencing an overdose has a window of time to reach the hospital, a drone could
fly active charcoal faster.
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Figure 3: Flowchart for Application of Drones in Pre-Hospital Standard Care
Routine Care
Laboratory
Samples
Routine
Emergency
Small
Interventions
ECG
Blood Pressure
First Aid Kit
Snake Bite
Treatment
Delivery of
Supplies
Vaccines
Resupplying
Stock
Warming Blanket
for a medical
case
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Figure 3 presents the second theme identified: “routine care”. This was extracted from participant
responses providing examples of use-cases when they believed a drone could be beneficial, falling
under “standard medical care”. A drone to fly to and from a laboratory to analyse samples whether
as part of a routine rural GP delivery , or an emergency would be valuable. Small interventions,
specifically for rural areas that do not have access to specialised equipment at all times, could be
flown by drone to aid these healthcare providers. The delivery of supplies includes vaccines to a
rural practice, resupplying medical equipment that has been used in an emergency or providing
additional support like a warming blanket.
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Figure 4: Flowchart of Scenario 1: Involving a trauma injury with severe blood loss
70% of participants responded their desired primary medical supply being flown would be blood
or blood products. Additional medical supplies were identified such as a tourniquet, dressings, and
a tranexamic acid (TXA) autoinjector. Three participants wrote they could not provide an answer,
due to the scenario being beyond their scope of practice.
Trauma
Injury Blood
Blood
Products
Blood Type
Cross-Match
Platelets
O-Negative
Blood
Medical
Equipment
Tourniquet
Dressings &
Gauze
TXA
Autoinjector
First Aid Kit
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Figure 5: Flowchart of Scenario 2: Involving a patient requiring CPR
A defibrillator was the primary medical supply identified in Figure 5 . Other medical equipment
reported to accompany the usage of the defibrillator were an airway kit, medication, and a
LUCAS*.
* A LUCAS is automized medical equipment that conducts chest compressions for CPR.
CPR Defibrillator
LUCAS
Medication
Adrenaline
Amiodarone
Airway Kit
Ventilation
bag
Airway tools
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Figure 6: Scenario 3: Mother experiencing labour difficulties
In the scenario of labour difficulties, participants were divided, with 53% providing an example of
a medical supply the drone could fly . 47% thought that they could not envision using a drone in
this scenario, that the mother would need a hospital immediately, or that their rural location could
not provide appropriate care, ultimately rendering medical care by drone insufficient. A participant
wrote: “frankly I'd rather have a helicopter take the mother and baby elsewhere asap (sic: as soon
as possible)”.
The 53% offering ideas of medical equipment, rang ed from life-saving supplies like blood or a
resus kit to care supplies such as pain relief and a blanket for either the mother or new-born.
Labour
Scenario
Mother
Assist labour
Medication
Uterine
stimulant
Pain relief
Life-saving
equipment
Defibrillator
Blood
products
Surgical kit
Laboratory
samples
Newborn
Life-support Neonatal
Resus Kit
Routine care
supplies
Blanket
Hat
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Discussion
The themes identified, life-threatening and routine care, both harness the capabilities a drone can
offer such as flying rapidly to a medical emergency and reaching rural locations requiring medical
supplies.
The main themes correspond with the three main medical supplies identif ied: blood,
defibrillator, and medication. Blood coincides with trauma cases such as hypovolemia or
catastrophic haemorrhage. Flying essential medication to provide care to a patient experiencing a
life-threatening emergency can vary based on the setting . Anaphylaxis was an example provided
by participants where adrenaline could be flown to care for this patient. The participants reported
other medical supplies, but these were in response to specific questions or prompts such as snake
bites.
For a traumatic injury, the consensus was that a drone could deliver blood pr oducts.
Participants did note that based on their specific profession they may have blood with them but
could be resupplied by a larger hospital via drone.
Blood is not listed in Figure 1 but was written explicitly under “other” for participants and
is evidently something that would be valuable to have flown.
Regarding the CPR scenario, participants primarily reported a defibrillator and a LUCAS;
this was specified to rural or remote cases for some participants. Participants did note that they
usually have a defibrillator on them so this could be for bystander to receive a defibrillator if one
wasn’t available. Given that drones can broaden the possibilities for providing medical care, the
role of the bystander would need to be evaluated and taken into consideration. For other questions
asking what drones could carry, a participant wrote: “AED (defibrillator) for bystander performing
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CPR”. This i s supported by the literature where bystanders using defibrillators can improve
survival rate(17).
The mother in labour scenario is the only one that does not describe the medical care the
patient requires, only describing “labour difficulties” to invite creative thinking, interpretation and
address the unplanned nature of childbirth. Responses showed a divide between participants. Some
who did provide an answer for a medical supply expressed discomfort with drone -based care.
Using drones for childbirth care is unprecedented, however, a novel pilot project in Botswana is
addressing the maternal mortality associated with childbirth by delivering blood or medication to
four villages to provide life-saving care to pregnant women(18).
A participant submitted a compelling response: “I think your focus is about what it can
carry - perhaps think more broadly about what it can do e.g., 'eyes' to search for casualty, thermal
imaging at night, etc.”. It is possible that researchers are limiting themselves by focusing solely on
what a drone can carry.
Integrating drone-based medical care into the British healthcare syste m would involve
logistics on multiple levels. This would include licensing for flying drones, responsibility for
dispatching drones, establishing relevant contexts, what the drone is containing and the direction
of flight for the drone (i.e., to or from a patient).
The drone -based care team would be extensive based on the dispatch and receival of
drones, not solely the team present with the patient . Additionally, current healthcare providers
cannot spend time while caring for a patient to load and fly the drone, anything they do must be
very rapid.
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A participant responded: “Although ED is so busy now if a responsive service with drones
could beat the ED queue?”. This is a fascinating idea to consider and contemplate the changes to
be made if drones were fully integrated, broadening the implication of drone-based care.
Findings that blood is a valuable medical item to fly within done -based care supports
current literature. Rwanda integrated blood delivery with drones in 2016 to improve blood delivery
and care (19). 43% of drone deliveries, from 2017 to 2019 in Rwanda were emergency blood
deliveries and had quicker dispatch es than ground transportation (19). A study in Montreal
simulated the delivery of blood products from a blood bank to a hospital, comparing drones with
ground transportation, finding that drones were faster and offered significant time benefits, which
would be beneficial during a mass casualty incident(20). Additionally, Japan flew blood in drones
in a transoceanic flight to reach remote islands to provide blood transfusions(21).
The factor predicting survival for out -of-hospital cardiac arrest is the response time (22).
Boutilier et al modelled that drones could fly and deliver a defibrillator faster than the 911 response
median time in Toronto (23). A Swedish pilot-study investigated flying a drone for real-life cardiac
emergencies and established that defibrillators were successfully dispatched and received in 92%
of cases(24). Regarding the integration of drones, a study in North Carolina found that a theoretical
drone network to deploy 500 drones to cardiac arrest cases would double expected survival rates
due to rapid response while being co st-effective(25). These studies correspond with the current
study participants reporting a need to fly defibrillators.
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Adrenaline and antivenom for snake bites have been tested for drone flight and found that
the integrity was not changed(26,27). Antibiotics have been considered a good candidate for flight
to treat sepsis(27). Further research should be conducted for flying medications by drone and other
medical supplies like the LUCAS have not been investigated.
Table 3 presents valid, self-explanatory concerns noting logistical aspects that would need
to be organised prior to integrating drones into healthcare and developing appropriate regulations.
Cost is written as “the potential being outweighed by the expenses” by a participant. There was
negativity surrounding the usage for drones where “ambition is ahead of capability” . Collisions
were reported as a concern, with an air ambulance professional writing: “drone s are one of the
biggest risks to my life in the air”. While drone crashes are rare, regulations must be developed to
address the event of a drone crash (2 9). In comparison, there was enthusiasm expressed as: “No,
think they could be revolutionary”.
Ghana and Rwanda have harnessed medical drones to reduce their carbon footprint( 30).
Drones emit low carbon emissions because they run on batteries instead of fuel, making them
friendlier for the environment rendering the “pollution” concern in Table 3 inapplicable(30).
Natural disasters were reported without further elaboration. Drones have been used in post-
natural disaster settings to provide humanitarian aid by delivering supplies to remote areas or
searching for survivors(31).
While social media for research recruitment has its strengths, it requires a network to be
useful. The student researcher is an international student and does not have an extensive network
in the UK, meaning the recruitment was limited to supervisors and few key contacts in the industry.
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It was not possible to verify the eligibility of participants. The ambiguity of this survey is
evident through nine respondents beginning the survey while being ineligible. Selection bias is a
concern through convenience sampling as it was anticipated that participants who have knowledge
of drones or an interest/dislike towards drones would be participating . Future studies should
include a larger sample size.
The study faced time constraints and as such, only SERB was contacted, rather than also
going through NHS e thics. Time constraints were addressed by keeping the survey open for as
long as possible.
The survey struggled with a low response rate despite high engagement. It was anticipated
there may be a greater sample collected from Scotland due to the University of Aberdeen and large
representation from England due to population size.
Research fatigue was a major deterrent for completing the survey as two contacts deni ed
our request to help distribute the survey due to research fatigue experience d by healthcare
professionals(32). This was further confirmed by a charity responding saying they can only
participate in a limited number of studies per year and had already maximised that number.
A notable strength of this study is the exploratory nature to investigate the perceptions of
frontline healthcare workers who would be impacted by drone integration.
The insights offered warrant further research . This survey provides valuable insights to
guide future research and drone governance. While it is possible to continue investigating what
drones can fly and how to make the science behind flying medical equipment viable, it will remain
just as essential to consider the perspectives of those who would be involved in integrating drones
into healthcare. It would be valuable to investigate perceptions of groups individually like
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paramedics, nurses, or laboratory workers and then distinguish the relevant medical cases for those
groups.
Regardless of drones being notorious for politics, warfare, and terrorism , the healthcare sector
could utilize the abilities that drones have to offer to better the efficiency of their services(33).
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