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DOI: 10.1055/s-0045-1810625
Exploring the Acceptance of Remote MR Scanning Technology among Radiographers in the Context of a Global Shift Toward Distance Collaboration: A First Glance
Abstract
Background
Remote magnetic resonance (MR) scanning has emerged as a solution for supporting radiographers from a distance during complex MR imaging examinations.
Materials and Methods
A demonstration of a commercially available remote MR scanning technology was delivered during a radiography conference. An electronic survey was conducted to investigate the perceived ease of use (PEoU), perceived usefulness (PU), attitude toward technology (ATT), and behavioral intention to use the technology (BI). The responses were analyzed using the IBM Statistical Package for Social Sciences (SPSS). Thirty-five responses were collected.
Results
PEoU and PU received high scores, indicating that respondents found the technology easy to use and useful. ATT and BI received lower scores, suggesting some hesitation in the adoption of the technology.
Conclusion
This was an early evaluation of the acceptance of remote MR scanning technology in Greece. Further research is necessary to fill the research gap in remote MR scanning, enabling future researchers to generate more reliable conclusions.
Introduction
The digital transformation in health care can change how patient care and services are delivered.[1] Incorporating advanced digital technologies into medical imaging services has already enabled telediagnosis and the operation of sophisticated imaging systems, such as magnetic resonance imaging (MRI) scanners, enabling health care professionals to perform imaging procedures remotely.[2] [3] Remote MR scanning has emerged as a potential solution for supporting radiographers and technologists from a distance during complex MRI procedures.[4] Remote MR scanning refers to the ability to operate and monitor MRI procedures from a location that is physically separate from the MRI scanner site. The key components of remote MR scanning are: (1) the physical location where the MRI scanner and its workstation are installed, (2) the remote workstation, which is a secure computer system or interface used by the remote radiographer to control scanning parameters and monitor the procedure in real time, (3) a high-speed, secure internet connection enabling real-time communication between the MRI scanner and the remote workstation, (4) audio and video systems, allowing real-time interaction between the remote and on-site radiographers.[5] An oral presentation on remote MRI scanning technology and a demonstration of commercially available software were delivered at the First Greek Radiological Technologists Conference held in November 2024 in Athens, Greece, followed by an electronic survey among attending radiographers. The objective was to explore radiographers' acceptance of remote MR scanning technology in Greece rather than the software itself used.
Materials and Methods
Anonymous responses were collected during the conference, using an electronic questionnaire in Google Forms.[6] Each radiographer who attended the oral presentation and the remote MR scanning technology demonstration was eligible for the survey. A social media campaign followed, inviting radiographers with prior experience through the use, demonstration, or training of this technology to participate in the electronic survey voluntarily and anonymously.
The Greek-translated version of the Technology Assessment Model (TAM) was used for our survey, which comprises four distinct sections with 19 statements that explore the perceived ease of use (PEoU), perceived usefulness (PU), attitudes toward technology (ATT), and behavioral intention to use the technology (BI) on a five-point agreement Likert scale.[7] An open-ended question was included to gather respondents' opinions regarding the adoption of this technology, workflow management, human resource issues, and professional matters.
Our survey was conducted as independent research. Approval from an Institutional Review Board was not obtained. However, permission from the organizing and scientific committees of the conference to conduct this survey was obtained. All participants were electronically informed prior to completing the questionnaire that their responses would remain anonymous and confidential, and provided an electronic consent.
Results
[Fig. 1] shows the demographic characteristics of the 35 respondents. Only 10 respondents (29%) reported having previously used any technology that enables the remote operation of medical imaging equipment before the demonstration at the conference.


According to [Fig. 2], respondents generally express mixed opinions about the remote MR scanning technology. While they acknowledge its ease of use and usefulness, there is hesitation regarding adoption and enjoyment. A significant number of neutral responses appear across various statements, indicating a need for better engagement and improvements in user experience and support.


A summary of the mean scores and standard deviations for each statement in the TAM is presented in [Table 1].
Abbreviations: ATT, attitude toward technology; BI, behavioral intention to use the technology; PEoU, perceived ease of use; PU, perceived usefulness; SD, standard deviation.
The results on PEoU indicate that respondents generally find the system easy to use, but some experience cognitive effort when interacting with it. While respondents believe that the system is useful for their work, they have slightly lower confidence in the system's capacity to enhance effectiveness (PU). Regarding ATT, respondents have a moderate attitude toward using the system, but uncertainty exists about whether it is advisable in clinical practice. Moreover, the results on BI indicate that respondents have a moderate intention to use the system, but it is not necessarily a favorite technology.
The correlation coefficients (r) are shown in [Table 2].
PEoU |
PU |
ATT |
BI |
|
---|---|---|---|---|
PEoU |
1.00 |
0.44[a] (p = 0.008) |
0.52[b] (p = 0.001) |
0.40[a] (p = 0.018) |
PU |
0.44[a] (p = 0.008) |
1.00 |
0.89[a] (p < 0.001) |
0.62[a] (p < 0.001) |
ATT |
0.52[b] (p = 0.001) |
0.89[a] (p < 0.001) |
1.00 |
0.75[a] (p < 0.001) |
BI |
0.40[a] (p = 0.018) |
0.62[a] (p < 0.001) |
0.75[a] (p < 0.001) |
1.00 |
Abbreviations: ATT, attitude toward technology; BI, behavioral intention to use the technology; PEoU, perceived ease of use; PU, perceived usefulness.
a Spearman's correlation.
b Pearson's correlation.
A significant positive relation is observed between PU and ATT, and ATT and BI, indicating that respondents who find the system useful have a more positive attitude toward it, and that a more positive attitude strongly predicts intention to use, respectively. PU significantly influences BI, as reflected by the significant relation between these two variables. Moderate relations between PEoU and ATT, PEoU and PU, and PEoU and BI indicate that PEoU moderately affects ATT, has a moderate effect on PU, and has the weakest but still significant impact on BI. Briefly, PU is a strong predictor of ATT and BI, meaning respondents who see the system as useful are more likely to have a positive attitude and intend to use it. ATT is the strongest predictor of BI, suggesting that fostering a positive attitude significantly increases adoption.
Radiographers' responses to the open-ended question, “Please share your opinions or concerns regarding the practicality of remote MR scanning technology, workflow management, human resources, and professional issues,” are summarized in [Table 3].
Abbreviation: MRI, magnetic resonance imaging.
Discussion
To the best of our knowledge, this is the first attempt to explore the acceptance of remote MR scanning in Greece. Yet, remote MR scanning technology is not a new concept.[3] [8] [9] [10] An evaluation of this technology among 11 MRI radiographers in the United Kingdom has revealed a high mean PEoU score, indicating that respondents generally found the system easy to use. PU had a lower mean score, which might suggest that while the system was easy to use, its practical benefits were not as strongly perceived. ATT and BI were found to be moderate, suggesting that respondents feel relatively neutral about the technology; hence, while some respondents may continue using the system, others remain unsure.[11] In our survey, PEoU and PU are relatively high, indicating that respondents find the system easy to use and useful. ATT and BI are slightly lower, suggesting some hesitation in adoption. Our survey has concluded that PU is strongly related to ATT, meaning that the respondents with a higher perception of the system's usefulness have a more positive attitude toward its use.
Remote MRI scanning technology has the potential to maintain or even enhance the quality of patient care, particularly in underserved or rural areas where access to experienced MRI radiographers is limited.[12] [13] However, ensuring quality patient care depends on robust MRI protocols, real-time collaboration, and reliable system and internet connection performance.[14] [15] In emergencies, the facility must have appropriately trained on-site personnel to respond promptly, as the remote radiographer may not be able to intervene physically. Clear emergency protocols and staff training are therefore critical for patient safety.[5] [16] During a remote MRI scan, patient positioning typically falls under the responsibility of an on-site radiographer who is trained in MRI safety and positioning, while the remote MRI radiographer can guide the process via video or audio communication.[17] Therefore, effective collaboration between remote and on-site radiographers and adequate training are key factors to ensure patient safety, seamless communication, and optimal examination quality for this model.
Our findings show that the respondents find the technology both easy to use and useful, but with some hesitation in adoption. Overall, the respondents have mixed opinions about their attitude toward technology and whether they will use it. The limitation of this survey was the small sample size. Moreover, most respondents did not fully interact with this technology before the demonstration at the conference. Consequently, the findings are not widely applicable. Continuous monitoring and evaluation of larger sample sizes will provide more reliable results once the technology is widely adopted in practice.
Conflict of Interest
None declared.
Acknowledgments
The authors would like to thank the organizer and the members of the organizational and scientific committees of the First Greek Radiological Technologists Conference, the respondents, and everyone who contributed to this research in any way.
Authors' Contributions
K.K. and I.K. conceptualized the study. K.K. and I.A. designed the methodology and performed the statistical analysis and investigation. K.K. prepared the original draft manuscript and supervised the study. K.K., I.K., and I.A. reviewed and edited the manuscript. I.K. and E.D. provided the resources.
Ethical Approval
This was an independent survey (not part of an institutional research protocol) conducted during the First Greek Radiological Technologists Conference held in November 2024 in Athens, Greece. Therefore, approval from an Institutional Review Board was not obtained. However, the organizing and scientific committees of the conference were informed in writing about our intention to conduct this survey and provided written permission.
Participants' Consent
All participants were informed prior to completing the electronic form that their responses would be used solely for our research purposes. They were assured of the anonymity and confidentiality of their answers. After receiving this information, they provided consent electronically before filling out the online questionnaire.
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References
- 1 Apostolakis I, Konstantinidis K. Digital transformation in healthcare. challenges and prospects. Health Rev. 2024; 35 (191) 4-6
- 2 Basu A. Platforms for collaborative process. In: Gogia S. ed. Fundamentals of Telemedicine and Telehealth. Chap. 5. Academic Press; 2020: 93-113
- 3 Kramer U, Schlemmer HP. [Remote control for magnetic resonance imaging as a part of daily routine examinations]. Rofo 2007; 179 (07) 739-742
- 4 Quinsten AS, Apel M, Oliveira S. Remote MR scanning - a solution for shortage of skilled radiographers. J Med Imaging Radiat Sci 2023; 54 (03) 410-414
- 5 Deistung A, Gussew A, Schneider J, Beblacz A, Pech M, Wohlgemuth WA. Remote operation of cross-sectional imaging devices as a new form of teleoperation: structural, technical, regulatory, and qualification aspects in Germany. Rofo 2024; 196 (09) 928-938
- 6 Kouka A, Konstantinidis K, Apostolakis I. Web 2.0 tools for enhancement of nursing practice: implementation scenarios. Arch Hell Med. 2023; 40 (03) 389-399
- 7 Melas CD, Zampetakis LA, Dimopoulou A, Moustakis V. Modeling the acceptance of clinical information systems among hospital medical staff: an extended TAM model. J Biomed Inform 2011; 44 (04) 553-564
- 8 Douglas Morris H. Ubiquitous remote operation collaborative interface for MRI scanners. In: Proc SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures. SPIE; 2001: 574-581
- 9 Finn JP, Saleh R, Thesen S. et al. MR imaging with remote control: feasibility study in cardiovascular disease. Radiology 2006; 241 (02) 528-537
- 10 Garg R, Sevilla A, Garberich R, Fleishman CE. Remote delivery of congenital cardiac magnetic resonance imaging services: a unique telemedicine model. Pediatr Cardiol 2015; 36 (01) 226-232
- 11 Hudson D, Sahibbil JP. Remote scanning support in magnetic resonance imaging: friend or foe?. Radiography (Lond) 2022; 28 (03) 739-745
- 12 Li L, Mastrangelo C, Briller N, Tesfaldet M, Starobinets O, Stapleton S. Prioritizing magnetic resonance (MR) radiology functions for virtual operations: a feasibility study. J Hosp Manag Health Policy 2022; •••: 6
- 13 Konstantinidis K. The shortage of radiographers: a global crisis in healthcare. J Med Imaging Radiat Sci 2024; 55 (04) 101333
- 14 Davies A. COVID-19 and ICT-supported remote working: opportunities for rural economies. WORLD 2021; 2 (01) 139-152
- 15 Oudbier SJ, Souget-Ruff SP, Chen BSJ, Ziesemer KA, Meij HJ, Smets EMA. Implementation barriers and facilitators of remote monitoring, remote consultation and digital care platforms through the eyes of healthcare professionals: a review of reviews. BMJ Open 2024; 14 (06) e075833
- 16 De Bock A, McNulty J, England A. ECSO-MRI Consortium. Recognising the role of radiographers in MR safety and the contributions of the European Federation of Radiographer Societies. Insights Imaging 2025; 16 (01) 21
- 17 Kanal E. Divided liability remote MR scanning. J Magn Reson Imaging 2024; 59 (01) 337-339
Address for correspondence
Publikationsverlauf
Artikel online veröffentlicht:
12. August 2025
© 2025. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Apostolakis I, Konstantinidis K. Digital transformation in healthcare. challenges and prospects. Health Rev. 2024; 35 (191) 4-6
- 2 Basu A. Platforms for collaborative process. In: Gogia S. ed. Fundamentals of Telemedicine and Telehealth. Chap. 5. Academic Press; 2020: 93-113
- 3 Kramer U, Schlemmer HP. [Remote control for magnetic resonance imaging as a part of daily routine examinations]. Rofo 2007; 179 (07) 739-742
- 4 Quinsten AS, Apel M, Oliveira S. Remote MR scanning - a solution for shortage of skilled radiographers. J Med Imaging Radiat Sci 2023; 54 (03) 410-414
- 5 Deistung A, Gussew A, Schneider J, Beblacz A, Pech M, Wohlgemuth WA. Remote operation of cross-sectional imaging devices as a new form of teleoperation: structural, technical, regulatory, and qualification aspects in Germany. Rofo 2024; 196 (09) 928-938
- 6 Kouka A, Konstantinidis K, Apostolakis I. Web 2.0 tools for enhancement of nursing practice: implementation scenarios. Arch Hell Med. 2023; 40 (03) 389-399
- 7 Melas CD, Zampetakis LA, Dimopoulou A, Moustakis V. Modeling the acceptance of clinical information systems among hospital medical staff: an extended TAM model. J Biomed Inform 2011; 44 (04) 553-564
- 8 Douglas Morris H. Ubiquitous remote operation collaborative interface for MRI scanners. In: Proc SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures. SPIE; 2001: 574-581
- 9 Finn JP, Saleh R, Thesen S. et al. MR imaging with remote control: feasibility study in cardiovascular disease. Radiology 2006; 241 (02) 528-537
- 10 Garg R, Sevilla A, Garberich R, Fleishman CE. Remote delivery of congenital cardiac magnetic resonance imaging services: a unique telemedicine model. Pediatr Cardiol 2015; 36 (01) 226-232
- 11 Hudson D, Sahibbil JP. Remote scanning support in magnetic resonance imaging: friend or foe?. Radiography (Lond) 2022; 28 (03) 739-745
- 12 Li L, Mastrangelo C, Briller N, Tesfaldet M, Starobinets O, Stapleton S. Prioritizing magnetic resonance (MR) radiology functions for virtual operations: a feasibility study. J Hosp Manag Health Policy 2022; •••: 6
- 13 Konstantinidis K. The shortage of radiographers: a global crisis in healthcare. J Med Imaging Radiat Sci 2024; 55 (04) 101333
- 14 Davies A. COVID-19 and ICT-supported remote working: opportunities for rural economies. WORLD 2021; 2 (01) 139-152
- 15 Oudbier SJ, Souget-Ruff SP, Chen BSJ, Ziesemer KA, Meij HJ, Smets EMA. Implementation barriers and facilitators of remote monitoring, remote consultation and digital care platforms through the eyes of healthcare professionals: a review of reviews. BMJ Open 2024; 14 (06) e075833
- 16 De Bock A, McNulty J, England A. ECSO-MRI Consortium. Recognising the role of radiographers in MR safety and the contributions of the European Federation of Radiographer Societies. Insights Imaging 2025; 16 (01) 21
- 17 Kanal E. Divided liability remote MR scanning. J Magn Reson Imaging 2024; 59 (01) 337-339



