References
- Steininger K, Stiglbauer B, Baumgartner B, Engleder B, editors. Factors explaining physicians’ acceptance of electronic health records. System Sciences (HICSS), 2014 47th Hawaii International Conference on System Science; 2014: IEEE.
- Morrison Z, Robertson A, Cresswell K, Crowe S, Sheikh A. Understanding contrasting approaches to nationwide implementations of electronic health record systems: England, the USA and Australia. J Healthc Eng. 2011;2(1):25–41. doi:10.1260/2040-2295.2.1.25.
- Gagnon MP, Ghandour El K, Talla PK, Simonyan D, Godin G, Labrecque M, et al. Electronic health record acceptance by physicians: testing an integrated theoretical model. J Biomed Inform. 2014Apr;48:17–27. doi:10.1016/j.jbi.2013.10.010.
- AL-nassar BAY, Abdullah MS, Osman WRS, editors. Barriers for implementation of electronic medical record (EMR). Proc 4th International Conference on Information Technology; 2009.
- Nassar DA, Othman M, Yahya H. Implementation of an EHR system (Hakeem) in Jordan: challenges and recommendations for governance. Him-Interchange. 2013;3(3):10–12.
- Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010Feb;43(1):159–72. doi:10.1016/j.jbi.2009.07.002.
- Hackl WO, Hoerbst A, Ammenwerth E. “Why the hell do we need electronic health records?”. EHR acceptance among physicians in private practice in Austria: a qualitative study. Methods Inf Med. 2010;50(1):53–61. doi:10.3414/ME10-02-0020.
- Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989;13(3):319–40. doi:10.2307/249008.
- Dimitrovski T, Ketikidis P, Lazuras L, Bath PA, editors. Adoption of Electronic Health Records (EHRs): A review of technology acceptance studies. Proc of the 16th International Symposium on Health Information Management Research- ISHIMR; 2013.
- Howard R Nurse acceptance and perception of electronic medical record [ Master of Science Thesis. 2009]. Kentucky: Department of Advanced Nursing Studies,Northern Kentucky University; 2009.
- Carayon P, Cartmill R, Blosky MA, Brown R, Hackenberg M, Hoonakker P, Hundt AS, Norfolk E, Wetterneck TB, Walker JM. ICU nurses’ acceptance of electronic health records. J Am Med Inform Assoc. 2011Nov-Dec;18(6):812–19. doi:10.1136/amiajnl-2010-000018.
- Godoe P, Johansen T. Understanding adoption of new technologies: technology readiness and technology acceptance as an integrated concept. J Eur Psychol Students. 2012;3(1):38–52. doi:10.5334/jeps.aq.
- Hsiao JL, Chang HC, Chen RF. A study of factors affecting acceptance of hospital information systems: a nursing perspective. J Nurs Res. 2011Jun;19(2):150–60. doi:10.1097/JNR.0b013e31821cbb25.
- Dowding DW, Turley M, Garrido T. Nurses’ use of an integrated electronic health record: results of a case site analysis. Inform Health Soc Care. 2015;40(4):345–61. doi:10.3109/17538157.2014.948169.
- Ludwick D, Manca D, Doucette J. Primary care physicians’ experiences with electronic medical records implementation experience in community, urban, hospital, and academic family medicine. Can Fam Physician. 2010;56(1):40–47.
- Nov O, Schecter W. Dispositional resistance to change and hospital physicians’ use of electronic medical records: A multidimensional perspective. J Am Soc Inf Sci Technol. 2012;63(4):648–56. doi:10.1002/asi.22602.
- Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Manage Sci. 1989;35(8):982–1003. doi:10.1287/mnsc.35.8.982.
- Al-Adwan AS, Berger H. Exploring physicians’ behavioural intention toward the adoption of electronic health records: an empirical study from Jordan. Int J Healthc Technol Manag. 2015;15(2):89–111. doi:10.1504/IJHTM.2015.074538.
- Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci. 2000;46(2):186–204. doi:10.1287/mnsc.46.2.186.11926.
- Venkatesh V. Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf Syst Res. 2000;11(4):342–65. doi:10.1287/isre.11.4.342.11872.
- Morton ME, Wiedenbeck S. EHR acceptance factors in ambulatory care: a survey of physician perceptions. Perspect Health Inf Manag. 2010;7:1c.
- Chang IC, Hsu HM. Predicting medical staff intention to use an online reporting system with modified unified theory of acceptance and use of technology. Telemed E Health. 2012Jan-Feb;18(1):67–73. doi:10.1089/tmj.2011.0048.
- Holden RJ. Social and personal normative influences on healthcare professionals to use information technology: towards a more robust social ergonomics. Theor Issues Ergon Sci. 2012;13(5):546–69. doi:10.1080/1463922X.2010.549249.
- Lu CH, Hsiao JL, Chen RF. Factors determining nurse acceptance of hospital information systems. Comput Inform Nurs. 2012May;30(5):257–64. doi:10.1097/NCN.0b013e318224b4cf.
- Dharmarajan B, Gangadharan K. Applying Technology Acceptance (TAM) model to determine the acceptance of Nursing Information System (NIS) for Computer Generated Nursing Care Plan among nurses. Int J Comput Trends Technol. 2013;4(8):2625–29.
- Ketikidis P, Dimitrovski T, Lazuras L, Bath PA. Acceptance of health information technology in health professionals: an application of the revised technology acceptance model. Health Informatics J. 2011Jun;18(2):124–34. doi:10.1177/1460458211435425.
- Alazzam MB, Basari A, Sibghatullah AS, Doheir M, Enaizan O, Mamra A. EHRS ACCEPTANCE IN JORDAN HOSPITALS BY UTAUT2 MODEL: PRELIMINARY RESULT. J Theor Appl Inf Technol. 2015;78(3):473–82.
- Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007May;39(2):175–91. doi:10.3758/BF03193146.
- 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. 2011Aug;44(4):553–64. doi:10.1016/j.jbi.2011.01.009.
- Stocker G. Technology acceptance of electronic medical records by nurses. Ann Arbor, MI: Webster University; 2010.
- Moores TT. Towards an integrated model of IT acceptance in healthcare. Decis Support Syst. 2012;53(3):507–16. doi:10.1016/j.dss.2012.04.014.
- Nimako SG, Azumah FK, Donkor F, Adu-Brobbey V. Confirmatory factor analysis of service quality dimensions within mobile telephony industry in Ghana. Electron J Inf Syst Eval. 2012;15(2):197–227.
- Zhang J, Walji MF. TURF: toward a unified framework of EHR usability. J Biomed Inform. 2011Dec;44(6):1056–67. doi:10.1016/j.jbi.2011.08.005.
- Turner M, Kitchenham B, Brereton P, Charters S, Budgen D. Does the technology acceptance model predict actual use? A systematic literature review. Inf Software Technol. 2010;52(5):463–79. doi:10.1016/j.infsof.2009.11.005.
- Shahbahrami A, Moayed Rezaie S Hafezi M. effective factors in acceptance of electronic health record from employees point of view. J Guilan Univ Med Sci. 2016;24(96):50–60.