Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32738
A Pre-Assessment Questionnaire to Identify Healthcare Professionals’ Perception on Information Technology Implementation

Authors: Y. Atilgan Şengül


Health information technologies promise higher quality, safer care and much more for both patients and professionals. Despite their promise, they are costly to develop and difficult to implement. On the other hand, user acceptance and usage determine the success of implemented information technology in healthcare. This study provides a model to understand health professionals’ perception and expectation of health information technology. Extensive literature review has been conducted to determine the main factors to be measured. A questionnaire has been designed as a measurement model and submitted to the personnel of an in vitro fertilization clinic. The respondents’ degree of agreement according to five-point Likert scale was 72% for convenient access to data and 69.4% for the importance of data security. There was a significant difference in acceptance of electronic data storage for female respondents. Also, other significant differences between professions were obtained.

Keywords: Healthcare, health informatics, medical record system, questionnaire.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1321


[1] J. Viitanen, H. Hyppönen, T. Lääveri, J. Vänskä, J. Reponen and I. Winblad “National questionnaire study on clinical ICT systems proofs: Physicians suffer from poor usability”, Int J of Medical Informatics, vol. 80, no. 10, pp. 708-725, Oct. 2011.
[2] V. P. Aggelidis and P. D. Chatzoglou, “Using a modified technology acceptance model in hospitals”, Int J of Medical Informatics, vol. 78, no. 2, pp. 115-126, Feb. 2009.
[3] A. Albarrak, N. Zakaria, “Editorial on Emerging Trends and Technologies in Healthcare in conjunction to the 1st International Saudi Health Informatics Conference held in Riyadh”, Journal of Infection and Public Health, vol. 9, no. 6, pp. 689—690, Nov. Dec. 2016.
[4] R. Ward, “The application of technology acceptance and diffusion of innovation models in healthcare informatics”, Health Policy and Technology, vol. 2, no. 4, pp. 222-228, Dec. 2013.
[5] L. B. Maruping, H. Bala, V. Venkatesh and S. A. Brown, “Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology”, Journal of the Association for Information Science and Technology, vol. 68, no.3, pp. 623-637, 2017.
[6] G. Comandé, L. Nocco and V. Peigné, “An empirical study of healthcare providers and patients׳ perceptions of electronic health records”, Computers in Biology and Medicine, vol. 59, pp. 194-201, April 2015.
[7] F. Y. Pai, K. I. Huang, “Applying the Technology Acceptance Model to the introduction of healthcare information systems”, Technological Forecasting and Social Change, vol. 78, no. 4, pp. 650-660, May 2011.
[8] R. H. Miller, I. Sim, “Physicians’ Use of Electronic Medical Records: Barriers and Solutions”, Health Affairs, vol. 23, no. 2, pp. 116-126, Marc 2004.
[9] M. Khalifa, “Barriers to Health Information Systems and Electronic Medical Records Implementation A Field Study of Saudi Arabian Hospitals”, Procedia Computer Science, vol. 21, pp. 335-342, 2013.
[10] F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology”, MIS Quarterly, vol. 13, no. 3, pp. 319-340, Sep 1989.
[11] P. J. Hu, P. Y. K. Cha, O. R. Liu Sheng and K. Y. Tam, “Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology”, Journal of Management Information Systems, vol. 16, no. 2, pp. 91-112, Fall 1999.
[12] V. P. Aggelidis, P. D. Chatzoglou, “Using a modified technology acceptance model in hospitals”, International Journal of Medical Informatics, vol. 78, no. 2, pp.115-126, Feb 2009.
[13] R. J. Holden, B. T. Karsh, “The Technology Acceptance Model: Its past and its future in health care”, Journal of Biomedical Informatics, vol. 43, no. 1, pp.159-172, Feb 2010.
[14] M. C. Beuscart-Zéphir, J. Brender, R. Beuscart, I. Ménager-Depriester, “Cognitive evaluation: How to assess the usability of information technology in healthcare”, Computer Methods and Programs in Biomedicine, vol. 54, pp. 19-28, 1997.
[15] L. Hossain and A. de Silva, “Exploring user acceptance of technology using social networks”, Journal of High Technology Management Research, vol. 20, pp. 1-18, March 2009.
[16] L. K. Schaper and G. P. Pervan, “ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists”, International Journal of Medical Informatics, vol. 76, pp. 212-221, June 2007.
[17] R. J. Holden, R. L. Brown, M. C. Scanlon and B. T. Karsh, “Pharmacy workers’ perceptions and acceptance of bar-coded medication technology in a pediatric hospital”, Research in Social and Administrative Pharmacy, vol. 8, no. 6, pp. 509-522, Nov. Dec. 2012.
[18] C. M. DesRoches, E. G. Campbell, S. R. Rao, K. Donelan, T. G. Ferris, A. Jha, et al, “Electronic health records in ambulatory care: a national survey of physicians”, The New England Journal of Medicine, pp. 50-60, July 2008.
[19] B. Kijsanayotin, S. Pannarunothai and S. M. Speedie, “Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model”, International Journal of Medical Informatics, vol. 78, no. 6, pp. 404-416, June 2009.
[20] M. Beglaryana, V. Petrosyana and E. Bunker, “Development of a tripolar model of technology acceptance: Hospital-based physicians’ perspective on EHR”, International Journal of Medical Informatics, vol. 102, pp. 50-61, June 2017.
[21] J. Horsky, K. McColgan, J. E. Pang, A. J. Melnikas, J. A. Linder, J. L. Schnipper, et al., “Complementary methods of system usability evaluation: Surveys and observations during software design and development cycles”, Journal of Biomedical Informatics, vol. 43, pp.782-790, May 2010.
[22] Agency for Healthcare Research and Quality, Costs and Benefits of Health Information Technology, Evidence Report/Technology Assessment Number 132, Publication No: 06-E006, 2006.
[23] M. Berg, “Implementing information systems in health care organizations: myths and challenges”, International Journal of Medical Informatics, vol. 64, pp. 143-156, Dec 2011.
[24] J. K. Belcher, M. K. Corcoran, R. J. Han, H. M. Shageer, B. A. Welsh, L. M. Pastore, et al., “An Approach to the Modular Design of Medical Research Systems”. IEEE Systems and Information Engineering Design Symposium, Charlottesville VA, USA, pp. 174-179, 2006.
[25] P. C. Steptoe and R. G. Edwards, “Birth after re-implantation of a human embryo”, The Lancet, vol. 312, no. 8085, pp.366, 1978.
[26] A. Uyar, A. Bener, H. N. Ciray and M. Bahceci, “A Frequency Based Encoding Technique for Transformation of Categorical Variables in Mixed IVF Dataset”, Engineering in Medicine and Biology Society, EMBC 2009. Annual International Conference of the IEEE, Minneapolis, Minnesota, USA, 2009, pp. 6214-6217.
[27] G. Tomkin and J. Cohen, “Data management and interpretation -computerized database for an ART clinic: hardware and software requirements and solutions”, Textbook of Assisted Reproductive Techniques, Laboratory and Clinical Perspectives, Martin Dunitz, London, 2001, pp. 367-380.
[28] A. M. van Ginneken, “The computerized patient record: balancing effort and benefits”, International Journal of Medical Informatics, vol. 65, no. 2, pp. 97-119, June 2002.
[29] M. Berg, P. Toussaint, “The mantra of modeling and the forgotten powers of paper: a sociotechnical view on the development of process-oriented ICT in health care”, International Journal of Medical Informatics, vol. 69, pp. 223-234, March 2003.
[30] L. Nguyen, E. Bellucci, L. Thuy Nguyen, “Electronic health records implementation: An evaluation of information system impact and contingency factors”, International Journal of Medical Informatics, vol. 83, no. 11, pp. 779-796 June 2014.
[31] A. L. Espinosa, “Availability of health data: requirements and solutions”, International Journal of Medical Informatics, vol. 49, no. 1, pp. 97-104, March 1998.
[32] G. Mansingh, K. M. Osei-Bryson and H. Reichgelt, “Issues in knowledge access, retrieval and sharing – Case studies in a Caribbean health sector”, Expert Systems with Applications, vol. 36, pp. 2853-2863, March 2009.
[33] N. Ali, D. Whiddett, A. Tretiakov and I. Hunter, “The use of information technologies for knowledge sharing by secondary healthcare organisations in New Zealand”, International Journal of Medical Informatics, vol. 81, no. 7, pp. 500-506, July 2012.