An Evaluation of Physical Facilities and Workflow at the 3 Tesla MRI Scan Center in a Tertiary Care Hospital

An Evaluation of Physical Facilities and Workflow at the 3 Tesla MRI Scan Center in a Tertiary Care Hospital | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article An Evaluation of Physical Facilities and Workflow at the 3 Tesla MRI Scan Center in a Tertiary Care Hospital Ayshath Shakeela, Somu G, Priya P S, Akshay Kumar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6925002/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 Introduction: Magnetic Resonance Imaging (MRI) is a cornerstone of modern medical diagnostics, offering high-resolution, non-invasive imaging of anatomical and pathological conditions. With the increasing demand for advanced diagnostic modalities, understanding the physical facilities and workflow of MRI centers is essential for improving healthcare delivery. This study evaluates the infrastructure and operational efficiency of a 3 Tesla MRI scan center in a tertiary care hospital in India. Methodology: A cross-sectional study was conducted at Kasturba Hospital, Manipal—a tertiary care teaching hospital equipped with 1.5T and 3T MRI systems. The evaluation involved a detailed assessment of the 3T MRI center’s layout, area allocation, equipment inventory, patient facilities, staffing, and workflow processes. Data were collected through observation and documentation review in collaboration with the Radiology and Hospital Administration departments. Results: The 3T MRI center, housing a United Imaging UMR 780 machine, spans 3804 sq. ft. and includes a fully equipped diagnostic and patient-care environment. It features zone-based safety compliance, modern infrastructure, MRI-compatible equipment, and robust fire safety systems. Patient care areas include air-conditioned waiting lounges, clear signage, and accessible restrooms. The operational workflow—from patient registration to post-scan reporting—is streamlined through coordinated efforts between administrative and clinical teams. Discussion: The study highlights the center’s adherence to national and international safety standards, such as the ACR’s four-zone safety model. Efficient patient flow, timely reporting via PACS, and use of MRI-compatible technology contribute to a high standard of diagnostic service. The integration of comfort-focused design and operational efficiency fosters a patient-centric approach. Conclusion: The 3 Tesla MRI scan center at Kasturba Hospital exemplifies a well-functioning, technologically advanced imaging facility. Its layout, safety infrastructure, and workflow practices serve as a model for tertiary care MRI services. Continued focus on technology upgrades and staff training will sustain and enhance its service quality and diagnostic capabilities. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction Magnetic Resonance Imaging (MRI) is a vital component of contemporary medical diagnostics that has transformed the way physicians see and understand complex anatomical structures and pathological states in the human body. With its foundation in nuclear magnetic resonance, magnetic resonance imaging (MRI) has developed into an advanced imaging technique based on how atomic nuclei respond to radiofrequency pulses and a strong magnetic field.( 1 ) As of January 23, 2025, India had 856 MRI centres, a 4.83% increase from 2023.Of these, 658 MRI facilities, or 76.87% of all MRI centres in India, are owned by a single person, while remaining 198, or 23.13%, are part of chains. Delhi has 85 MRI centres, Tamil Nadu has 73 MRI centres, and Maharashtra has 165 MRI centres, making them the top 3 states with majority of MRI centres. In India, MRI centres are typically 53 months old is average age.( 2 ) The Institute of Nuclear Medicine and Allied Sciences (INMAS), located in Delhi, installed the country's first MRI in 1987. INMAS is a clinical and biomedical research organization that focuses on radiation, neuropsychological imaging, and related fields. The first MRI machine at AIIMS was a 4.7T animal MR machine (BIOSPEC) that was installed in 1992 to test the pulse programming and sequences on plants and animals. The first clinical MRI machine, a 1.5T MAGNETOM 63SP, was installed in 1993.( 3 ) The MRI market was estimated at USD 6.30 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 6% to reach USD 9.47 billion by 2030. The growing number of geriatric people, the prevalence of chronic diseases, technical improvements, and the growing need for non-invasive diagnostic methods have all contributed to the expansion of the global MRI market. The market is worth billions of dollars. The MRI market is expanding due in large part to technological developments. To improve image quality, shorten scan times, and boost patient comfort, MRI system manufacturers are always making improvements.( 4 ) Global MRI Market Trends: In India, all medical equipment, including MRI machines, are governed by the CDSCO in accordance with the Medical Device Rules, 2017. To lawfully market or utilize MRI machines in India, one must obtain a CDSCO license in order to protect patient safety and avoid using subpar equipment. MRI machines are classified as Class C medical devices, which denotes a moderate to high risk level, according to CDSCO's risk-based classification system. Class C device-specific regulations must be followed in licensing and compliance.( 5 ) Methodology Study Design This research is a cross-sectional study to evaluate the Physical Facilities and Workflow at the 3 Tesla MRI Scan Center in a Tertiary Care Hospital. Study Setting The research was performed at Kasturba Hospital, Manipal, which is a tertiary care teaching hospital with an established Radiology Department that has 1.5T and 3T MRI scanners. The Hospital Administration Department was engaged to assess the operational workflow, resource consumption, and cost-effectiveness of MRI technology. The infrastructural and operational features of the 3T MRI machine was recorded in this study. Results and Discussion The following categories can be used to examine the three Tesla MRI scan centres' infrastructure: Layout & Location Area requirements Workflow Staffing and Manpower Layout & Location: The 3 T MRI scan centre at the hospital under study is located at the ground floor of the CSOT block. The centre’s MRI machine is a United Imaging Company (UIC) UMR 780 model, which has the newest technology for high-resolution imaging with a field strength of 3 Tesla. The ground floor of the Shirdi Sai Baba building is home to 1.5 Tesla MRI equipment under the Philips Achieva brand. MRI Room To reduce electromagnetic interference, the MRI room has a sturdy, 4-inch-thick RF-shielded door. Vinyl flooring, a long-lasting and easily cleaned material, is used to complete the MRI room's floor. For a contemporary and attractive look, the ceiling is fitted with a fake ceiling. For ideal working conditions, the MRI room is kept at a steady temperature of 22 degrees Celsius and a humidity level of 40%. Patient Facilities: There is a large waiting room with couch seating that may easily hold up to 20 patients. Central air conditioning is installed in the waiting room to provide a comfortable atmosphere. For convenience, patient restrooms are available. Patients and guests have access to clean drinking water. Informative signages that are displayed include: Name of the Radiologist with qualification Display of model of equipment Broad Services provided Fee structure of different investigations Appropriate Fire exit signages Caution high magnetic field signage. Area requirements: According to guidelines, to guarantee safety, the American College of Radiology (ACR) suggests a four-zone scheme for MRI site access limitation. Zone I is the entrance to the MRI facility and is accessible to the general public. Usually utilized for patient welcome, waiting, and screening, Zone II serves as a transitional space between the public and restricted areas. Only approved MRI staff have access to Zone III, a controlled space used for anesthesia induction, post-screening holding, and patient preparation. Only MR personnel without prior screening are permitted entry to Zone IV, the MRI scanner chamber, which is subject to stringent access control. This zoning technique improves MRI operations' efficiency and helps avoid safety risks.( 6 ) The total space requirement for an MRI system including office and other administrative accommodation is a minimum 85 sq. m. i.e. 914 sqft.( 7 ) Table 1: Space requirement for MRI centre Note: Created by author Area Allocation of the 3 T MRI Scan Centre The 3 T MRI scan centre occupies 3804 square feet in total. Table 2: Equipment List for 3T MRI Facility Note: Created by author The MRI centre under study is equipped with a comprehensive range of furniture, medical equipment, electronics, fire safety tools, and miscellaneous items to support diagnostic imaging and patient care. The furniture includes steel and wooden cupboards, stools (wooden and revolving), wardrobes, teapoys, patient examination couches with drawers, and designated tables for computers and reporting. The centre's medical equipment features essential diagnostic and emergency care items such as stethoscopes, medicine trolleys, oxygen trolleys, defibrillators, crash carts, suction apparatus, pulse oximeters, and MRI-compatible devices including trolleys, monitors, and infusion pumps, specifically selected for safety within the MRI environment. The seating area is equipped with a variety of chairs and sofas, including 3-seater and 2-seater sofas, visitor chairs, plastic chairs with arms, and foldable wheelchair seating. The electronics section includes air conditioners, UV-based water purifiers, printers, Dell 22” monitors, and Dell workstations that aid in reporting and administration. For fire safety, the facility is equipped with multiple types of fire extinguishers, including DCP, CO2 (4.5kg), and MRI-compatible extinguishers, ensuring full compliance with MRI zone safety protocols. In addition, miscellaneous support equipment such as pedestal and wall fans, soiled linen trolleys, weight machines with height stands, wet and dry vacuum cleaners, DVD players, reception storage units, communication counters, and a CCTV system contribute to the smooth operation and safety of the MRI unit. Work flow of MRI : 1. Patient Appointment & Reception Patients get prior appointments (directly/telephone). Receptionist provides information about charges. Walk-in patients are informed of waiting time. Emergency cases: Casualty Sister calls Radiology Duty Doctor; patient is shifted to MRI scan room while bill is paid. 2. Patient Arrival at MRI Reception Patient approaches the receptionist with a doctor's request. Receptionist verifies patient, explains study duration & cost, prepares bill. OPD patients pay at Radiology counter and return. 3. Pre-Procedure Registration & Preparation Bill shown to the receptionist. Requisition form handed to the technician. Technician records arrival time. Radiology PG/Resident discusses the procedure, records clinical details, checks for contraindications (metallic prostheses, pacemakers, implants). Sister takes informed consent, leads the patient to the dressing area. Patient changes into MRI gown. 4. Data Entry & Positioning MR technician enters patient details into PACS & MR monitor. Patient positioned in the MR gantry based on examination type. 5. Procedure & Reporting Radiology technician performs the scan under supervision. Post-procedure: Patient is advised to visit referring doctor (OPD) or transferred to ward. Images uploaded to PACS within 5 minutes. PGs transcribe reports, consultants approve within 30–60 minutes. Conclusion The evaluation of the 3 Tesla MRI scan center at Kasturba Hospital, Manipal, shows that it is a well-organized and technologically advanced facility that meets both national and international standards for MRI infrastructure and workflow. The center uses the United Imaging UMR 780 model, with a strong focus on patient safety, comfort, and efficient operations. Its physical layout follows the American College of Radiology’s recommended zoning protocol, ensuring controlled access and reducing safety risks. The center’s detailed equipment inventory — including MRI-compatible medical devices and robust fire safety measures — demonstrates careful planning and readiness for emergencies. The workflow is systematic and patient-focused, covering every stage from appointment scheduling and registration to scanning and prompt reporting through PACS. Smooth coordination between radiology staff, administrative teams, and emergency services supports seamless operations and quick response when needed. In summary, the 3T MRI center not only meets the diagnostic needs of a busy tertiary care hospital but also sets a high standard for quality, safety, and workflow efficiency in radiological imaging. Ongoing investment in staff training, technology upgrades, and patient engagement will further strengthen its services and diagnostic outcomes. Limitations of the study This study was confined to a single tertiary care teaching hospital, which may affect the external validity of the findings. The evaluation was observational and qualitative in nature, relying primarily on facility assessment and process observation without comparative benchmarking against national or global MRI service metrics. Additionally, the study did not include quantitative workflow efficiency indicators such as scan duration per patient, waiting times, or staff productivity. These limitations suggest a need for further studies using measurable operational performance data. Declarations Conflict of interest The authors have no conflict of interest to declare that are relevant to the content of this article. Ethics approval and consent to participate The study protocol received approval from the Institutional Ethics Committee of the Kasturba Medical College (approval number IEC2: 443/2023). Clinical Trial Number Not Applicable Funding No specific funding was received for conducting this study. Author Contribution Ayshath Shakeela (AS): Contributed in preparing the manuscript, data collection, interpretation and analysis.Somu G (SG): Contributed in terms of conceptualization of the research work and supervision of the project along with inputs for manuscript preparation.Priya PS (PP): Contributed in data collection, and guiding in throughout the project and by providing administrative support.Akshay Kumar (AK): Contributed in preparing the final manuscript and reviewing it and data collection and data interpretation. Data Availability The data that support the findings of this study are available from the corresponding author upon reasonable request. Due to institutional policies and privacy considerations, some data may not be publicly shared but can be made available in anonymized form for academic purposes. References Geva T. Magnetic resonance imaging: historical perspective. J Cardiovasc Magn Reson Off J Soc Cardiovasc Magn Reson. 2006;8(4):573–80. SmartScraper [Internet]. [cited 2025 May 14]. List Of MRI centers in India. Available from: https://rentechdigital.com/smartscraper/business-report-details/list-of-mri-centers-in-india History of Neuroradiology In. India - Indian Society of Neuroradiology (ISNR) [Internet]. [cited 2025 May 14]. Available from: https://isnr.in/history-of-neuroradiology-in-india/ MRI (Magnetic Resonance Imaging System.) Market Growth and Revenue Forecast [2032] [Internet]. [cited 2025 May 14]. Available from: https://www.globalgrowthinsights.com/market-reports/mri-magnetic-resonance-imaging-system-market-100484 Medical. device & diagnostics [Internet]. [cited 2025 May 14]. Available from: https://cdsco.gov.in/opencms/opencms/en/Medical-Device-Diagnostics/Medical-Device-Diagnostics/ MR Safety Resources [Internet]. [cited 2025 May 14]. Available from: https://www.acr.org/Clinical-Resources/Clinical-Tools-and-Reference/radiology-safety/mr-safety JaypeeDigital |. Principles of Hospital Administration & Planning [Internet]. [cited 2025 May 14]. Available from: https://www.jaypeedigital.com/book/9788184486322 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-6925002","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":485299138,"identity":"9e9e2ed6-aa22-4b83-ac1a-d936750322c8","order_by":0,"name":"Ayshath Shakeela","email":"","orcid":"","institution":"Kasturba Medical College, Manipal","correspondingAuthor":false,"prefix":"","firstName":"Ayshath","middleName":"","lastName":"Shakeela","suffix":""},{"id":485299140,"identity":"3511acdd-51de-4e1c-8e49-fb7b30dca1da","order_by":1,"name":"Somu G","email":"","orcid":"","institution":"Kasturba Medical College, 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4","display":"","copyAsset":false,"role":"figure","size":60479,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e3T MRI scan centre’s layout\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e(Source: Original layout of MRI centre at CSOT Block at Kasturba Hospital)\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6925002/v1/e9d32679e0532849b3a505e8.png"},{"id":87038512,"identity":"642e2067-0b00-4a6d-af1a-fbc174153a68","added_by":"auto","created_at":"2025-07-18 13:29:20","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":678154,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e3T MRI IMAGE (UNITED IMAGING)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e(Source: Original image of our MRI scan room)\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6925002/v1/b53d5b126fa765c6f1ccb7fa.png"},{"id":87039197,"identity":"a0d83c55-bcc7-49bc-8070-7e707743e775","added_by":"auto","created_at":"2025-07-18 13:37:20","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":58847,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eMRI Safety Zone Layout \u003c/strong\u003e(6)\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-6925002/v1/0c9a59bef27e5d8bc78066ea.png"},{"id":90004008,"identity":"3fe3fb24-dd48-460f-a2f2-023dbb51771e","added_by":"auto","created_at":"2025-08-27 09:17:30","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1698395,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6925002/v1/bac4acab-0c7f-40ef-b894-9e48ddd7fb7c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An Evaluation of Physical Facilities and Workflow at the 3 Tesla MRI Scan Center in a Tertiary Care Hospital","fulltext":[{"header":"Introduction","content":"\u003cp\u003eMagnetic Resonance Imaging (MRI) is a vital component of contemporary medical diagnostics that has transformed the way physicians see and understand complex anatomical structures and pathological states in the human body. With its foundation in nuclear magnetic resonance, magnetic resonance imaging (MRI) has developed into an advanced imaging technique based on how atomic nuclei respond to radiofrequency pulses and a strong magnetic field.(\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e)\u003c/p\u003e\u003cp\u003eAs of January 23, 2025, India had 856 MRI centres, a 4.83% increase from 2023.Of these, 658 MRI facilities, or 76.87% of all MRI centres in India, are owned by a single person, while remaining 198, or 23.13%, are part of chains. Delhi has 85 MRI centres, Tamil Nadu has 73 MRI centres, and Maharashtra has 165 MRI centres, making them the top 3 states with majority of MRI centres. In India, MRI centres are typically 53 months old is average age.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e)\u003c/p\u003e\u003cp\u003eThe Institute of Nuclear Medicine and Allied Sciences (INMAS), located in Delhi, installed the country's first MRI in 1987. INMAS is a clinical and biomedical research organization that focuses on radiation, neuropsychological imaging, and related fields. The first MRI machine at AIIMS was a 4.7T animal MR machine (BIOSPEC) that was installed in 1992 to test the pulse programming and sequences on plants and animals. The first clinical MRI machine, a 1.5T MAGNETOM 63SP, was installed in 1993.(\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e)\u003c/p\u003e\u003cp\u003eThe MRI market was estimated at USD 6.30\u0026nbsp;billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 6% to reach USD 9.47\u0026nbsp;billion by 2030. The growing number of geriatric people, the prevalence of chronic diseases, technical improvements, and the growing need for non-invasive diagnostic methods have all contributed to the expansion of the global MRI market. The market is worth billions of dollars. The MRI market is expanding due in large part to technological developments. To improve image quality, shorten scan times, and boost patient comfort, MRI system manufacturers are always making improvements.(\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e)\u003c/p\u003e\n\u003ch3\u003eGlobal MRI Market Trends:\u003c/h3\u003e\n\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eIn India, all medical equipment, including MRI machines, are governed by the CDSCO in accordance with the Medical Device Rules, 2017. To lawfully market or utilize MRI machines in India, one must obtain a CDSCO license in order to protect patient safety and avoid using subpar equipment. MRI machines are classified as Class C medical devices, which denotes a moderate to high risk level, according to CDSCO's risk-based classification system. Class C device-specific regulations must be followed in licensing and compliance.(\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e)\u003c/p\u003e"},{"header":"Methodology","content":"\u003cp\u003e\u003cstrong\u003eStudy Design\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eThis research is a cross-sectional study to evaluate the Physical Facilities and Workflow at the 3 Tesla MRI Scan Center in a Tertiary Care Hospital.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eStudy Setting\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eThe research was performed at Kasturba Hospital, Manipal, which is a tertiary care teaching hospital with an established Radiology Department that has 1.5T and 3T MRI scanners. The Hospital Administration Department was engaged to assess the operational workflow, resource consumption, and cost-effectiveness of MRI technology.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe infrastructural and operational features of the 3T MRI machine was recorded in this study.\u003c/p\u003e"},{"header":"Results and Discussion","content":"\u003cp\u003eThe following categories can be used to examine the three Tesla MRI scan centres\u0026apos; infrastructure:\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\n \u003cp\u003eLayout \u0026amp; Location\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eArea requirements\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eWorkflow\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003e\u0026nbsp;Staffing and Manpower\u003c/p\u003e\n \u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3\u003eLayout \u0026amp; Location:\u003c/h3\u003e\n\u003cp\u003eThe 3 T MRI scan centre at the hospital under study is located at the ground floor of the CSOT block. The centre\u0026rsquo;s MRI machine is a United Imaging Company (UIC) UMR 780 model, which has the newest technology for high-resolution imaging with a field strength of 3 Tesla.\u003c/p\u003e\n\u003cp\u003eThe ground floor of the Shirdi Sai Baba building is home to 1.5 Tesla MRI equipment under the Philips Achieva brand.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMRI Room\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo reduce electromagnetic interference, the MRI room has a sturdy, 4-inch-thick RF-shielded door. Vinyl flooring, a long-lasting and easily cleaned material, is used to complete the MRI room\u0026apos;s floor. For a contemporary and attractive look, the ceiling is fitted with a fake ceiling. For ideal working conditions, the MRI room is kept at a steady temperature of 22 degrees Celsius and a humidity level of 40%.\u003c/p\u003e\n\u003ch3\u003ePatient Facilities:\u003c/h3\u003e\n\u003cp\u003eThere is a large waiting room with couch seating that may easily hold up to 20 patients. Central air conditioning is installed in the waiting room to provide a comfortable atmosphere. For convenience, patient restrooms are available. Patients and guests have access to clean drinking water.\u003c/p\u003e\n\u003ch3\u003eInformative signages that are displayed include:\u003c/h3\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\n \u003cp\u003eName of the Radiologist with qualification\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eDisplay of model of equipment\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eBroad Services provided\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eFee structure of different investigations\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eAppropriate Fire exit signages\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eCaution high magnetic field signage.\u003c/p\u003e\n \u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003eArea requirements:\u003c/h2\u003e\n \u003cp\u003eAccording to guidelines, to guarantee safety, the American College of Radiology (ACR) suggests a four-zone scheme for MRI site access limitation. Zone I is the entrance to the MRI facility and is accessible to the general public. Usually utilized for patient welcome, waiting, and screening, Zone II serves as a transitional space between the public and restricted areas. Only approved MRI staff have access to Zone III, a controlled space used for anesthesia induction, post-screening holding, and patient preparation. Only MR personnel without prior screening are permitted entry to Zone IV, the MRI scanner chamber, which is subject to stringent access control. This zoning technique improves MRI operations\u0026apos; efficiency and helps avoid safety risks.(\u003cspan class=\"CitationRef\"\u003e6\u003c/span\u003e)\u003c/p\u003e\n \u003cp\u003eThe total space requirement for an MRI system including office and other administrative accommodation is a minimum 85 sq. m. i.e. 914 sqft.(\u003cspan class=\"CitationRef\"\u003e7\u003c/span\u003e)\u003c/p\u003e\n \u003cp\u003eTable 1: Space requirement for MRI centre\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003cimg 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\" 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\" alt=\"image\" style=\"width: 460px;\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eNote: Created by author\u003c/em\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\n \u003ch2\u003eArea Allocation of the 3 T MRI Scan Centre\u003c/h2\u003e\n \u003cp\u003eThe 3 T MRI scan centre occupies \u003cstrong\u003e3804 square feet in total.\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 2: Equipment List for 3T MRI Facility\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003cimg 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\" alt=\"image\" style=\"width: 683px;\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eNote: Created by author\u003c/em\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003eThe MRI centre under study is equipped with a comprehensive range of furniture, medical equipment, electronics, fire safety tools, and miscellaneous items to support diagnostic imaging and patient care. The furniture includes steel and wooden cupboards, stools (wooden and revolving), wardrobes, teapoys, patient examination couches with drawers, and designated tables for computers and reporting.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003cp\u003eThe centre\u0026apos;s medical equipment features essential diagnostic and emergency care items such as stethoscopes, medicine trolleys, oxygen trolleys, defibrillators, crash carts, suction apparatus, pulse oximeters, and MRI-compatible devices including trolleys, monitors, and infusion pumps, specifically selected for safety within the MRI environment.\u003c/p\u003e\n \u003cp\u003eThe seating area is equipped with a variety of chairs and sofas, including 3-seater and 2-seater sofas, visitor chairs, plastic chairs with arms, and foldable wheelchair seating. The electronics section includes air conditioners, UV-based water purifiers, printers, Dell 22\u0026rdquo; monitors, and Dell workstations that aid in reporting and administration.\u003c/p\u003e\n \u003cp\u003eFor fire safety, the facility is equipped with multiple types of fire extinguishers, including DCP, CO2 (4.5kg), and MRI-compatible extinguishers, ensuring full compliance with MRI zone safety protocols. In addition, miscellaneous support equipment such as pedestal and wall fans, soiled linen trolleys, weight machines with height stands, wet and dry vacuum cleaners, DVD players, reception storage units, communication counters, and a CCTV system contribute to the smooth operation and safety of the MRI unit.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eWork flow of MRI\u003c/strong\u003e:\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003cp\u003e1. Patient Appointment \u0026amp; Reception\u003c/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n \u003cp\u003ePatients get prior appointments (directly/telephone).\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eReceptionist provides information about charges.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eWalk-in patients are informed of waiting time.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eEmergency cases: Casualty Sister calls Radiology Duty Doctor; patient is shifted to MRI scan room while bill is paid.\u003c/p\u003e\n \u003c/li\u003e\n \u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003cp\u003e2. Patient Arrival at MRI Reception\u003c/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n \u003cp\u003ePatient approaches the receptionist with a doctor\u0026apos;s request.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eReceptionist verifies patient, explains study duration \u0026amp; cost, prepares bill.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eOPD patients pay at Radiology counter and return.\u003c/p\u003e\n \u003c/li\u003e\n \u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n \u003cp\u003e3. Pre-Procedure Registration \u0026amp; Preparation\u003c/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n \u003cp\u003eBill shown to the receptionist.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eRequisition form handed to the technician.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eTechnician records arrival time.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eRadiology PG/Resident discusses the procedure, records clinical details, checks for contraindications (metallic prostheses, pacemakers, implants).\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eSister takes informed consent, leads the patient to the dressing area.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003ePatient changes into MRI gown.\u003c/p\u003e\n \u003c/li\u003e\n \u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\n \u003cp\u003e4. Data Entry \u0026amp; Positioning\u003c/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n \u003cp\u003eMR technician enters patient details into PACS \u0026amp; MR monitor.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003ePatient positioned in the MR gantry based on examination type.\u003c/p\u003e\n \u003c/li\u003e\n \u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\n \u003cp\u003e5. Procedure \u0026amp; Reporting\u003c/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n \u003cp\u003eRadiology technician performs the scan under supervision.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003ePost-procedure:\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003ePatient is advised to visit referring doctor (OPD) or transferred to ward.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003eImages uploaded to PACS within 5 minutes.\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003ePGs transcribe reports, consultants approve within 30\u0026ndash;60 minutes.\u003c/p\u003e\n \u003c/li\u003e\n \u003c/ul\u003e\n\u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe evaluation of the 3 Tesla MRI scan center at Kasturba Hospital, Manipal, shows that it is a well-organized and technologically advanced facility that meets both national and international standards for MRI infrastructure and workflow. The center uses the United Imaging UMR 780 model, with a strong focus on patient safety, comfort, and efficient operations. Its physical layout follows the American College of Radiology\u0026rsquo;s recommended zoning protocol, ensuring controlled access and reducing safety risks.\u003c/p\u003e\u003cp\u003eThe center\u0026rsquo;s detailed equipment inventory \u0026mdash; including MRI-compatible medical devices and robust fire safety measures \u0026mdash; demonstrates careful planning and readiness for emergencies. The workflow is systematic and patient-focused, covering every stage from appointment scheduling and registration to scanning and prompt reporting through PACS. Smooth coordination between radiology staff, administrative teams, and emergency services supports seamless operations and quick response when needed.\u003c/p\u003e\u003cp\u003eIn summary, the 3T MRI center not only meets the diagnostic needs of a busy tertiary care hospital but also sets a high standard for quality, safety, and workflow efficiency in radiological imaging. Ongoing investment in staff training, technology upgrades, and patient engagement will further strengthen its services and diagnostic outcomes.\u003c/p\u003e\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003eLimitations of the study\u003c/h2\u003e\u003cp\u003eThis study was confined to a single tertiary care teaching hospital, which may affect the external validity of the findings. The evaluation was observational and qualitative in nature, relying primarily on facility assessment and process observation without comparative benchmarking against national or global MRI service metrics. Additionally, the study did not include quantitative workflow efficiency indicators such as scan duration per patient, waiting times, or staff productivity. These limitations suggest a need for further studies using measurable operational performance data.\u003c/p\u003e\u003c/div\u003e"},{"header":"Declarations","content":"\u003ch2\u003eConflict of interest\u003c/h2\u003e\n\u003cp\u003eThe authors have no conflict of interest to declare that are relevant to the content of this article.\u003c/p\u003e\n\u003ch2\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003eThe study protocol received approval from the Institutional Ethics Committee of the Kasturba Medical College (approval number IEC2: 443/2023).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClinical Trial Number\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot Applicable\u003c/p\u003e\n\u003ch2\u003eFunding\u003c/h2\u003e\n\u003cp\u003eNo specific funding was received for conducting this study.\u003c/p\u003e\n\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\n\u003cp\u003eAyshath Shakeela (AS): Contributed in preparing the manuscript, data collection, interpretation and analysis.Somu G (SG): Contributed in terms of conceptualization of the research work and supervision of the project along with inputs for manuscript preparation.Priya PS (PP): Contributed in data collection, and guiding in throughout the project and by providing administrative support.Akshay Kumar (AK): Contributed in preparing the final manuscript and reviewing it and data collection and data interpretation.\u003c/p\u003e\n\u003ch2\u003eData Availability\u003c/h2\u003e\n\u003cp\u003eThe data that support the findings of this study are available from the corresponding author upon reasonable request. Due to institutional policies and privacy considerations, some data may not be publicly shared but can be made available in anonymized form for academic purposes.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eGeva T. Magnetic resonance imaging: historical perspective. J Cardiovasc Magn Reson Off J Soc Cardiovasc Magn Reson. 2006;8(4):573\u0026ndash;80.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSmartScraper [Internet]. [cited 2025 May 14]. List Of MRI centers in India. Available from: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://rentechdigital.com/smartscraper/business-report-details/list-of-mri-centers-in-india\u003c/span\u003e\u003cspan address=\"https://rentechdigital.com/smartscraper/business-report-details/list-of-mri-centers-in-india\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHistory of Neuroradiology In. India - Indian Society of Neuroradiology (ISNR) [Internet]. [cited 2025 May 14]. Available from: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://isnr.in/history-of-neuroradiology-in-india/\u003c/span\u003e\u003cspan address=\"https://isnr.in/history-of-neuroradiology-in-india/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMRI (Magnetic Resonance Imaging System.) Market Growth and Revenue Forecast [2032] [Internet]. [cited 2025 May 14]. Available from: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.globalgrowthinsights.com/market-reports/mri-magnetic-resonance-imaging-system-market-100484\u003c/span\u003e\u003cspan address=\"https://www.globalgrowthinsights.com/market-reports/mri-magnetic-resonance-imaging-system-market-100484\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMedical. device \u0026amp; diagnostics [Internet]. [cited 2025 May 14]. Available from: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://cdsco.gov.in/opencms/opencms/en/Medical-Device-Diagnostics/Medical-Device-Diagnostics/\u003c/span\u003e\u003cspan address=\"https://cdsco.gov.in/opencms/opencms/en/Medical-Device-Diagnostics/Medical-Device-Diagnostics/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMR Safety Resources [Internet]. [cited 2025 May 14]. Available from: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.acr.org/Clinical-Resources/Clinical-Tools-and-Reference/radiology-safety/mr-safety\u003c/span\u003e\u003cspan address=\"https://www.acr.org/Clinical-Resources/Clinical-Tools-and-Reference/radiology-safety/mr-safety\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eJaypeeDigital |. Principles of Hospital Administration \u0026amp; Planning [Internet]. [cited 2025 May 14]. Available from: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.jaypeedigital.com/book/9788184486322\u003c/span\u003e\u003cspan address=\"https://www.jaypeedigital.com/book/9788184486322\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\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":"","lastPublishedDoi":"10.21203/rs.3.rs-6925002/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6925002/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eIntroduction:\u003c/strong\u003e Magnetic Resonance Imaging (MRI) is a cornerstone of modern medical diagnostics, offering high-resolution, non-invasive imaging of anatomical and pathological conditions. With the increasing demand for advanced diagnostic modalities, understanding the physical facilities and workflow of MRI centers is essential for improving healthcare delivery. This study evaluates the infrastructure and operational efficiency of a 3 Tesla MRI scan center in a tertiary care hospital in India.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethodology:\u003c/strong\u003e A cross-sectional study was conducted at Kasturba Hospital, Manipal—a tertiary care teaching hospital equipped with 1.5T and 3T MRI systems. The evaluation involved a detailed assessment of the 3T MRI center’s layout, area allocation, equipment inventory, patient facilities, staffing, and workflow processes. Data were collected through observation and documentation review in collaboration with the Radiology and Hospital Administration departments.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e The 3T MRI center, housing a United Imaging UMR 780 machine, spans 3804 sq. ft. and includes a fully equipped diagnostic and patient-care environment. It features zone-based safety compliance, modern infrastructure, MRI-compatible equipment, and robust fire safety systems. Patient care areas include air-conditioned waiting lounges, clear signage, and accessible restrooms. The operational workflow—from patient registration to post-scan reporting—is streamlined through coordinated efforts between administrative and clinical teams.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDiscussion:\u003c/strong\u003e The study highlights the center’s adherence to national and international safety standards, such as the ACR’s four-zone safety model. Efficient patient flow, timely reporting via PACS, and use of MRI-compatible technology contribute to a high standard of diagnostic service. The integration of comfort-focused design and operational efficiency fosters a patient-centric approach.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e The 3 Tesla MRI scan center at Kasturba Hospital exemplifies a well-functioning, technologically advanced imaging facility. Its layout, safety infrastructure, and workflow practices serve as a model for tertiary care MRI services. Continued focus on technology upgrades and staff training will sustain and enhance its service quality and diagnostic capabilities.\u003c/p\u003e","manuscriptTitle":"An Evaluation of Physical Facilities and Workflow at the 3 Tesla MRI Scan Center in a Tertiary Care Hospital","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-18 13:21:15","doi":"10.21203/rs.3.rs-6925002/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":"0a200db8-8317-4f2d-9631-05649ebadb91","owner":[],"postedDate":"July 18th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-08-27T09:09:15+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-18 13:21:15","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6925002","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6925002","identity":"rs-6925002","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}