Technology Acceptance Model: Cloud HD Video Meetings in the Context of Medical Education


  • Kawitsara Eumbunnapong Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand
  • Mathuwan Srikong Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand
  • Chutirut Prasongmanee Ministry of Education, Thailand
  • Maykin Warasart Digital Government Development Agency, Thailand
  • Naphatsanan Suwannawong Chulabhorn Royal Academy, Thailand
  • Siwaporn Linthaluek Chulabhorn Royal Academy, Thailand
  • Supattra Sawangkul Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand


Technology Acceptance Model, Cloud Technology, Medical Education


The main aim of this paper is to shed light on the role of the cloud HD video meeting technology acceptance model in the context of medical education and to assess its benefits for academics, teachers, and students. The importance of the cloud deployment service model technology as an application model was tested in the context of five popular medical areas: 1) treatment, 2) medical education, 3) rehabilitation, 4) training, and 5) surgery. A concluding theory about the Technology Acceptance and its benefits to assist improving the values, applications, and methods to make such technology better tolerated in the context of medical education is also discussed.


A., Banbury, L., P., S., N., J., D., L.C., G., & J., B. (2016). Delivering patient education by group videoconferencing into the home: Lessons learnt from the Telehealth Literacy Project. Journal of Telemedicine and Telecare, 22(8), 483–488.

A., Bawa, A., M., & A., S. N. (2013). Smartphones in surgery: An emerging trend. Surgical Endoscopy and Other Interventional Techniques, 27, S354. 013-2881-z

A., G., S., S., M., G., V., T., & P., J. (2019). A detailed study of various challenges in cloud computing. IIOAB Journal, 10(2), 18–26. Retrieved from 161

A., M. (2016). Asian Medicines: Encounters, Translations and Transformations. ICTAM IX, August 6-12, 2017 in Kiel. Chinesische Medizin, 31(4), 242. 016-0129-4

A., S., V.L., N., D., G., & A.K., S. (2019). Designing the GI cloud. American Journal of Gastroenterology, 114, S1583–S1584.

A., Z., N., R., M.M., A., V.P.K., S., & L.M., A. (2019). Can Bahraini patients accept e-health systems? International Journal of Health Care Quality Assurance, 32(4), 720–730.

A.S., C., J.A., E., N.A., R., M., T., & D.J., D. (2019). Beyond crisis intervention team (CIT) classroom training: Videoconference continuing education for law enforcement. International Journal of Law and Psychiatry, 62, 104–110.

Aanestad, M., Driveklepp, A., Sørli, H., & Hertzum, M. (2017). Participatory Continuing Design: “Living with” Videoconferencing in Rehabilitation. Participatory Design & Health Information Technology, 233, 45–59.

Abdekhoda, M., Ahmadi, M., Dehnad, A., & Hosseini, A. F. (2014). Information Technology Acceptance in Health Information Management. Methods Inf Med, 53(01), 14–20.

Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics, 78(2), 115–126.

Ajzen, I, & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Retrieved from

Ajzen, Icek. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. 5978(91)90020-T

Ajzen, Icek. (2012). The theory of planned behavior. Handbook of Theories of Social Psychology: Volume 1, 211, 438–459.

Al-Jumaili, A. A., Al-Rekabi, M. D., Alsawad, O. S., Allela, O. Q. B., Carnahan, R., Saaed, H., … Sorofman, B. (2017). Exploring electronic communication modes between Iraqi faculty and students of pharmacy schools using the technology acceptance model. American Journal of Pharmaceutical Education, 81(5).

Allsop, S., Hollifield, M., Huppler, L., Baumgardt, D., Ryan, D., van Eker, M., … Fuller, C. (2020). Using videoconferencing to deliver anatomy teaching to medical students on clinical placements. Translational Research in Anatomy, 19, 100059.

An, J. Y. (2006). Theory development in health care informatics: Information and communication technology acceptance model (ICTAM) improves the explanatory and predictive power of technology acceptance models. Studies in Health Technology and Informatics, 122, 63–67.

B., M., D., H., B., S., C., D.-M., & A., M. (2019). Enabling blinded independent central review of medical images for the RAMPART trial, with a bespoke, cloud-based, picture archiving and communication system. Trials, 20.

B.E., W., J.J., C., M.M., F., H.C., V. A., A.J., D., & B.D., G. (2019). A data-driven model of the economic burden of healthcare-associated infec-tions as impacted by use of comprehensive genomic analysis of bacteria. Open Forum Infectious Diseases, 6, S847.

Bagot, K., Moloczij, N., Arthurson, L., Hair, C., Hancock, S., Bladin, C. F., & Cadilhac, D. A. (2020). Nurses’ Role in Implementing and Sustaining Acute Telemedicine: A MixedMethods, Pre-Post Design Using an Extended Technology Acceptance Model. Journal of Nursing Scholarship, 52(1), 34–46.

Bandung, Y., Tanjung, Di., & Subekti, L. B. (2018). Design of mLeaming application with videoconference system for higher education. Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017, 2017-Novem, 1–6.

Barteit, S., Neuhann, F., Bärnighausen, T., Bowa, A., Wolter, S., Siabwanta, H., & Jahn, A. (2019). Technology Acceptance and Information System Success of a Mobile Electronic Platform for Nonphysician Clinical Students in Zambia: Prospective, Nonrandomized Intervention Study. Journal of Medical Internet Research, 21(10), e14748.

Bernard, M.-M., Janson, F., Flora, P., Faulkner, G., Meunier-Norman, L., & Fruhwirth, M. (2009). Videoconference-Based Physiotherapy and Tele-Assessment for Homebound Older Adults: A Pilot Study. Activities, Adaptation, 39–48.

Bradley, J. (2009). The technology acceptance model and other user acceptance theories. Handbook of Research on Contemporary Theoretical Models in Information Systems, 277– 294.

ch015 Briz-Ponce, L., & García-Peñalvo, F. J. (2015). An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education. Journal of Medical Systems, 39(11).

Camilleri, M. A., & Camilleri, A. C. (2019). The acceptance and use of mobile learning applications in higher education. ACM International Conference Proceeding Series, 25–29.

Chen, I. J., Yang, K. F., Tang, F. I., Huang, C. H., & Yu, S. (2008). Applying the technology acceptance model to explore public health nurses’ intentions towards web-based learning: A cross-sectional questionnaire survey. International Journal of Nursing Studies, 45(6), 869– 878.

Chen, L., Day, T. W., Tang, W., & John, N. W. (2017). Recent Developments and Future Challenges in Medical Mixed Reality. 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 123–135.

Chipps, J., Kerr, J., Brysiewicz, P., & Walters, F. (2015). A survey of university students’ perceptions of learning management systems in a low-resource setting using a technology acceptance model. CIN - Computers Informatics Nursing, 33(2), 71–77.

Cimperman, M., Makovec Brenčič, M., & Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior-applying an Extended UTAUT model. International Journal of Medical Informatics, 90, 22–31.

D., P., M., P., F., M., & G., V. (2011). A cloud-based semantic wiki for user training in healthcare process management. Studies in Health Technology and Informatics, 169, 93–97.

D., V., P., C., L., C., & L.F., M. (2013). The road to Telemedicine: Mobile solutions for Nuclear Medicine. European Journal of Nuclear Medicine and Molecular Imaging, 40, S516.

Davis, F. D., Bogozzi, R., P., & Warshaw, P., R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982– 1003.

Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: three experiments. International Journal of HumanComputer Studies, 45(1), 19–45.

Depešová, J., & Tureková, I. (2015). Implementation model of teaching practice with the application of a videoconference system. ICETA 2014 - 12th IEEE International Conference on Emerging ELearning Technologies and Applications, Proceedings, 91–96.

Doering, N., Legido-Quigley, H., Glinos, I. A., McKee, M., & Maarse, H. (2013). A successstory in cross-border telemedicine in Europe: The use of intra-operative teleneuromonitoring during aorta surgery. Health Policy and Technology, 2(1), 4–9.

Duyck, P., Pynoo, B., Devolder, P., Voet, T., Adang, L., & Vercruysse, J. (2008). User acceptance of a picture archiving and communication system: Applying the unified theory of acceptance and use of technology in a radiological setting. Methods of Information in Medicine, 47(2), 149–156.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719–734.

G.C., K. (2014). Developing international communication via the web. Physica Medica, 30, e12– e13. Retrieved from 2

Gainsbury, S. M., Philander, K. S., & Grattan, G. (2019). Predicting Intention to Play Random and Skill-based Electronic Gambling Machines Using the Theory of Reasoned Action. Journal of Gambling Studies, (0123456789).

Gance-Cleveland, B., Leiferman, J., Aldrich, H., Nodine, P., Anderson, J., Nacht, A., … Ozkaynak, M. (2019). Using the Technology Acceptance Model to Develop StartSmart: mHealth for Screening, Brief Intervention, and Referral for Risk and Protective Factors in Pregnancy. Journal of Midwifery and Women’s Health, 64(5), 630–640.

Germain, V., Marchand, A., Bouchard, S., Guay, S., & Drouin, M.-S. (2010). Assessment of the Therapeutic Alliance in Face-to-Face or Videoconference Treatment for Posttraumatic Stress Disorder. Cyberpsychology, Behavior and Social Networking, 13, 29–35.

Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593.

Greiner, A., Mess, W. H., Schmidli, J., Dick, F., Grommes, J., & Jacobs, M. (2010). Possibilities for telemonitoring across national boundaries for open surgical repair of aneurysms of the thoracoabdominal aorta . Gefasschirurgie, 15(5), 311–316. 010-0785-y

Heuckmann, B., Hammann, M., & Asshoff, R. (2018). Using the theory of planned behaviour to develop a questionnaire on teachers’ beliefs about teaching cancer education. Teaching and Teacher Education, 75, 128–140.

Holden, R. J., & Karsh, B.-T. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172.

Huang, J.-C. (2010). Remote health monitoring adoption model based on artificial neural networks. Expert Systems with Applications, 37(1), 307–314.

J.-Y., A., L.L., H., T., P., & B., C. (2007). Theory development in nursing and healthcare informatics: A model explaining and predicting information and communication technology acceptance by healthcare consumers. Advances in Nursing Science, 30(3), E37–E49.

J.I., K., J.-Y., Y., H., P., S.-Y., P., Y., A., H., L., … J.-H., K. (2018). A Mobile VideoconferenceBased Intervention on Stress Reduction and Resilience Enhancement in Employees: Randomized Controlled Trial. Journal of Medical Internet Research, 20(10), e10760.

J.P., N., R.A., B., L.W., A., F., B., P.S., C., M.W., D., … M., W. (2019). Cardiac Arrest and Cardiopulmonary Resuscitation Outcome Reports: Update of the Utstein Resuscitation Registry Template for In-Hospital Cardiac Arrest: A Consensus Report From a Task Force of the International Liaison Committee on Resuscitation (American . Resuscitation, 144, 166–177.

Jansen-Kosterink, S., Dekker-van Weering, M., & van Velsen, L. (2019). Patient acceptance of a telemedicine service for rehabilitation care: A focus group study. International Journal of Medical Informatics, 125, 22–29.

Jeihooni, A. K., Khiyali, Z., Faghih, F., Harsini, P. A., & Rahbar, M. (2020). The Effect of Educational Program Based on the Extended Theory of Reasoned Action on Self ‑ Care Behaviors in Women with Type 2 Diabetes. (January).

K., A., A., W., D., D., B., B., I., K., G., V. G., … G., S. (2016). Improving ms care with an international videoconference-based provider education and case consultation program. Neurology, 86(16). Retrieved from

K., R., Z., U., & D., M. (2015). Telemedicine: One way to reduce clostridium difficile infection in hospitals and long-term care facilities. American Journal of Clinical Pathology, 144, A183. Retrieved from 0

K.N., A., A., W., D.W., D., B., B., I., K., K.S., A., … G.A., S. (2016). Accelerating international MS care through videoconference-based education and case consultation. Neurology, 87(1), e8–e10.

Kavamoto, C. A., Chao, L. W., Battistella, L. R., & Böhm, G. M. (2005). A Brazilian model of distance education in physical medicine and rehabilitation based on videoconferencing and Internet learning. Journal of Telemedicine and Telecare, 11(SUPPL. 1), 80–82.

Ketikidis, P., Dimitrovski, T., Lazuras, L., & Bath, P. A. (2012). Acceptance of health information technology in health professionals: An application of the revised technology acceptance model. Health Informatics Journal, 18(2), 124–134.

Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404–416.

Kohnke, A., Cole, M. L., & Bush, R. (2014). Incorporating UTAUT predictors for understanding home care patients’ and clinician’s acceptance of healthcare telemedicine equipment. Journal of Technology Management and Innovation, 9(2), 29–41.

L., K., S.A., C., B., J., & D., M. (2017). Exploratory applications of augmented reality for patient education in emergency medicine. Academic Emergency Medicine, 24, S289.

L., Q., & C., W. (2017). National incident reporting data analysis for 3 years, Oman: Telemedicine improves the health quality in China. International Journal for Quality in Health Care, 29, 65.

L., X. (2019). Internet plus is an innovative model for the healthy development of the elderly. Indian Journal of Pharmaceutical Sciences, 81(1), 73. Retrieved from

L.E., C., F.J., R., B., C., D., D., M., K., E., M., … C.T., Q. (2019). An immersive virtual reality curriculum for pediatric providers on shared decision making for hydroxyurea. Blood, 134.

L.K., S., & G.P., P. (2007). ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical Informatics, 76(SUPPL. 1), 212–221.

L.S., E., A.G., S., & T.L., S. (2018). Providing an Academic APPE Elective via Videoconference Between Off-campus Faculty and Students. American Journal of Pharmaceutical Education, 82(8), 6645.

M., G., & T., P. (2011). Utilization of cloud computing to aid experiential precepting at a tertiary academic medical center. Pharmacotherapy, 31(10), 397e-398e. Retrieved from

M., R., J.B., G., R., C., E.D., W., A., T., H.H., H., … A.R., W. (2016). A virtual case management program for a new era of healthcare: the inflammatory bowel disease live interinstitutional and interdisciplinary videoconference education (IBD live) series improves quality of care. Gastroenterology, 150(4), S798. Retrieved from

M.A., T., S., M., R., B., F., F., J., C., M., P., … J., M. (2019). LATIN telemedicine - Expanded umbrella of cost-effective ami coverage for 100 million people. European Heart Journal, 40, 3754.

M.H., M. (2017). Residency building from your home office: Effectiveness of videoconference based tele-education for emergency medicine residents and providers in vietnam. Annals of Global Health, 83(1), 118. Retrieved from

M.P., B., S., O., J., H., & R., S. (2018). An equivalence study of interview platform: Does videoconference technology impact medical school acceptance rates of different groups? Advances in Health Sciences Education : Theory and Practice, 23(3), 601–610.

MacLeod, A., Cameron, P., Kits, O., & Tummons, J. (2019). Technologies of Exposure. Academic Medicine, 94(3), 412–418.

Marconi, C., Brovetto, C., Mendez, I., & Perera, M. (2018). Learning through videoconference. research on teaching quality. Proceedings - 13th Latin American Conference on Learning Technologies, LACLO 2018, 37–40.

Melas, C. D., Zampetakis, L. A., Dimopoulou, A., & Moustakis, V. (2011). Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model. Journal of Biomedical Informatics, 44(4), 553–564.

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. Retrieved from

Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., … Sharit, J. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26(6), 1710–1721.

Muiruri, C., Kapanda, G., Tibyampansha, D., Ibrahim, G., Kulanga, A., Lisasi, E., & Bartlett, J. (2014). eLearning at a Medical School in sub-Saharan Africa: Use of the Technology Acceptance Model to evaluate implementation effectiveness. Annals of Global Health, 80(3), 171.

Mussa, C. C., Al-Raimi, A., & Becker, E. A. (2019). Predicting respiratory therapists’ intentions to use the modified early warning score by using an enhanced technology acceptance model. Respiratory Care, 64(4), 416–424.

N., S., J., A., A., K., C., B., D.H., C., J.L., B.-D., … H.S., T. (2020). eHealth Activity among African American and White Cancer Survivors: A New Application of Theory. Health Communication, 35(3), 350–355.

N.U., K., B.S., K., & S.J., J. (2019). Automated dataset generation pipeline for 3D Web visualization and cloud processing. IBRO Reports, 6, S286.

Nurjanah, S., Santoso, H. B., & Hasibuan, Z. A. (2018). The user acceptance test of an “iCT adoption for education” framework. ACM International Conference Proceeding Series, 129– 133.

P., G., S., S., M., F., M., K., & D., R. (2019). Neurology International Residents Videoconference and Exchange (NIRVE): A model for peer-led neurology resident education using telemedicine. Journal of the Neurological Sciences, 405, 113.

Pai, F.-Y., & Huang, K.-I. (2011). Applying the Technology Acceptance Model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650–660.

Pap, S. A., Lach, E., & Upton, J. (2002). Telemedicine in plastic surgery: E-consult the attending surgeon. Plastic and Reconstructive Surgery, 110(2), 452–456.

Parikh, S. V, Bostwick, J. R., & Taubman, D. S. (2019). Videoconferencing Technology to Facilitate a Pilot Training Course in Advanced Psychopharmacology for Psychiatrists. Academic Psychiatry, 43(4), 411–416.

Perikos, I., Gkamas, V., Zarouchas, T., & Paraskevas, M. (2016). Educational capabilities of a novel teleconference service integrated into the Greek school community. ACM International Conference Proceeding Series.

Portz, J. D., Bayliss, E. A., Bull, S., Boxer, R. S., Bekelman, D. B., Gleason, K., & Czaja, S. (2019). Using the technology acceptance model to explore user experience, intent to use, and use behavior of a patient portal among older adults with multiple chronic conditions: Descriptive qualitative study. Journal of Medical Internet Research, 21(4).

Prieto, J. C. S., Migueláñez, S. O., & García-Peñalvo, F. J. (2014). ICTs integration in education: Mobile learning and the technology acceptance model (TAM). ACM International Conference Proceeding Series, 683–687.

Procter, L., Angus, D. J., Blaszczynski, A., & Gainsbury, S. M. (2019). Understanding use of consumer protection tools among Internet gambling customers: Utility of the Theory of Planned Behavior and Theory of Reasoned Action. Addictive Behaviors, 99(June), 106050.

R., C. (2019). Monitoring of Joint Angle and Muscle Activity Using Wearable Sensors in a Home Environment. Archives of Physical Medicine and Rehabilitation, 100(10), e99.

Rafique, H., Omran, A., Shamim, A., & Anwar, F. (2020). Computers & Education Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model ( TAM ). Computers & Education, 145(May 2019), 103732.

Rahimi, B., Nadri, H., Lotfnezhad Afshar, H., & Timpka, T. (2018). A Systematic Review of the Technology Acceptance Model in Health Informatics. Appl Clin Inform, 09(03), 604–634.

Rasmussen, B. S. B., Jensen, L. K., Froekjaer, J., Kidholm, K., Kensing, F., & Yderstraede, K. B. (2015). A qualitative study of the key factors in implementing telemedical monitoring of diabetic foot ulcer patients. International Journal of Medical Informatics, 84(10), 799–807.

Redlick, F., Roston, B., Gomez, M., & Fish, J. S. (2002). An initial experience with telemedicine in follow-up burn care. Journal of Burn Care and Rehabilitation, 23(2), 110–115.

Rho, M. J., Kim, H. S., Chung, K., & Choi, I. Y. (2015). Factors influencing the acceptance of telemedicine for diabetes management. Cluster Computing, 18(1), 321–331.

Ruangvanich, S. (2019). Key Success of Technology Acceptance to Develop Mobile Application. S., M., R., B., F., F., F., F., A., A., J., C., … C., L. (2019). Balancing limited resources, infrastructure deficits and cultural differences in sustaining the growth of LATIN telemedicine program. European Heart Journal, 40, 3142.

S., M., R., B., F., F., F., F., A., A., J., C., … S., Q. (2019). Telemedicine transcends national boundaries in quest of creating a behemoth ami program. European Heart Journal, 40, 1974.

S., M., R., B., J., C., M., P., M., P., R., C., … J., L. (2019). TCT-508 Telemedicine Without Borders! Journal of the American College of Cardiology, 74(13), B503.

S., M., R., B., J., C., M., P., M., P., R., C., … M., L. (2019). TCT-506 LATIN - STEMI Prototype for Developing Countries. Journal of the American College of Cardiology, 74(13), B501.

S., Z., T., M., A.J., D., T., T., W., S., & J., B. (2018). Randomized evaluation of videoconference meetings for third-year medical students’ mid-clerkship feedback sessions. Academic Emergency Medicine, 25, S122.

Schaper, L. K., & Pervan, G. P. (2007). ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical Informatics, 76(SUPPL. 1), S212–S221.

Segato, F., & Masella, C. (2017). Telemedicine services: How to make them last over time. Health Policy and Technology, 6(3), 268–278.

Soegner, P., Rettenbacher, T., Smekal, A., & Zur Nedden, D. (2003). Guidelines for teleradiology practice: results of the Tyrolean teleradiology pilot project. Journal of Telemedicine and Telecare, 9 Suppl 1, S48-50. Retrieved from 0642373611&partnerID=40&md5=ddec9d0a385670d7d87cb10005211e91

Srikong, M., & Wannapiroon, P. (2020). Immersive technology for medical education: Technology enhance immersive learning experiences. Siriraj Medical Journal, 72(3), 265– 271.

T., K., M., O., Y., K., K., M., T., Y., & N., S. (2017). Developing HIGH-TECH bladder and bowel diary in innovative clinical informatics. European Urology, Supplements, 16(3), e1425–e1427.

Tsai, C.-H. (2014). Integrating social capital theory, social cognitive theory, and the technology acceptance model to explore a behavioral model of telehealth systems. International Journal of Environmental Research and Public Health, 11(5), 4905–4925.

Vaughan, E., Naik, A., Lewis, C., Foreyt, J., Samson, S., & Hyman, D. (2019). Telemedicine Training and Support for Community Health Workers: Improving Knowledge of Diabetes. Telemedicine and E-Health, 26.

Venkatesh, V.; Morris, M.G.; Davis, G.B.; Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Q, 27, 425–478.

Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425–478.

Wallace, D. L., Hussain, A., Khan, N., & Wilson, Y. T. (2012). A systematic review of the evidence for telemedicine in burn care: With a UK perspective. Burns, 38(4), 465–480.

Wang, L., & Alexander, C. A. (2013). Medical Applications and Healthcare Based on Cloud Computing. International Journal of Cloud Computing and Services Science (IJ-CLOSER), 2(4).

Wannapiroon, P., Nilsook, P., Jitsupa, J., & Chaiyarak, S. (2021). World Journal on Educational Technology : Current Issues Technology acceptance of online instruction for vocational instructors in new normal education. 13(4), 635–650.

Wirthlin, D. J., Buradagunta, S., Edwards, R. A., Brewster, D. C., Cambria, R. P., Gertler, J. P., … Berman, J. A. (1998). Telemedicine in vascular surgery: Feasibility of digital imaging for remote management of wounds. Journal of Vascular Surgery, 27(6), 1089–1100.

Wongdee, P., Suwannawong, N., & Boonlue, S. (2017). The Development of Creative Problem Solving learning management in “Instructional Model and Lesson Plans” by using a Virtual Classroom on Cloud computing. In Graduate School Ramkhamhaeng University Journal (Vol. 1, pp. 17–32). Retrieved from files-resize.pdf (n.d.). ICT STATISTICS. Retrieved March 24, 2020, from

X., T., & S., C. (2019). Cross-section survey on medical staff use of mobile devices for clinical images. EMA - Emergency Medicine Australasia, 31, 56–57. 6723.13240

X., Z., X., G., K.-H., L., F., G., & C., L. (2014). Understanding gender differences in m-health adoption: a modified theory of reasoned action model. Journal and E-Health : The Official Journal of the American Association, 20(1), 39–46.

Y., B., S., C., R., J., Y., L., L., C., F., L., & J., T. (2020). The physical activity of colorectal cancer survivors during chemotherapy: Based on the theory of planned behavior. Supportive Care in Cancer, 28(2), 819–826.

Y., X., & R., Z. (2019). Analysis of the personalized bodybuilding teaching and effect based on the cloud computing platform. Basic and Clinical Pharmacology and Toxicology, 124, 93– 94.

Yu, Z. (2020). Visualizing co-citations of technology acceptance models in education. Journal of Information Technology Research, 13(1), 77–95.

Yuan, Y. H., Tsai, S. B., Dai, C. Y., Chen, H. M., Chen, W. F., Wu, C. H., … Wang, J. (2017). An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer. PLoS ONE, 12(9), 1–22.

Z., Z., T., M., A., D., T., T., W., S., & J., B. (2019). Randomized evaluation of videoconference meetings for medical students’ mid-clerkship feedback sessions. Western Journal of Emergency Medicine, 20(1), 163–169.

Zarafshani, K., Solaymani, A., D’Itri, M., Helms, M. M., & Sanjabi, S. (2020). Evaluating technology acceptance in agricultural education in Iran: A study of vocational agriculture teachers. Social Sciences & Humanities Open, 2(1), 100041.

Zolait, A. (2014). Innovation Acceptance Research: A Review of Theories, Contexts and Approaches. Journal of Internet Banking and Commerce, 19, 1–18




How to Cite

K. Eumbunnapong, “Technology Acceptance Model: Cloud HD Video Meetings in the Context of Medical Education”, Int J Edu Comm Tech, vol. 1, no. 1, pp. 30–44, Dec. 2021.



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