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Electronic Health Record (EHR) is one of the most important applications in the healthcare domain which has many benefits for the healthcare community as a whole. The objective of our study is to conduct a comprehensive systematic literature review regarding the EHR adoption over the various healthcare contexts in order to identify the used adoption theories and their most significant factors in EHR adoption. We searched databases including ScienceDirect, PubMed, IEEE Digital Library, Web of Science, Springer, Scopus and Wiley between January 2005 and July 2017. Consequently, 18 identified papers appeared in 17 international journals and conferences. Eligible studies independently were critically appraised, collected within data extraction form and then thematically analyzed by two reviewers and if necessary, the third author. We found out 9 different models and theories including TAM, UTAUT, TOE, DOI, TPB, TIB, stakeholder theory, institutional theory and social network have been used in EHR adoption contexts and the most significant factors in this contexts were perceived usefulness and perceived ease of use. The results demonstrated that the most studies required the EHR adoption have been performed in the developed countries, in which them most of used questionnaires for data gathering. Adoption of EHR systems is multi-dimensional, complicated, and affected by different types of factors in healthcare organizations. Our findings provide valuable insights and shed some light on researchers, decision and policy makers and managers of healthcare domain to make more informed decisions about the adoption and use of EHR systems.
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Lluch M. Healthcare professionals’ organisational barriers to health information technologies—a literature review. Int J Med Inform. 2011;80(12):849–62. CrossRef
Ahmadi M, Jeddi FR, Gohari MR, Sadoughi F. A review of the personal health records in selected countries and Iran. J Med Syst. 2012;36(2):371–82. CrossRef
Achampong EK. The state of information and communication technology and health informatics in Ghana. Online J Public Health Inform. 2012;4(2).
Aminpour F, Sadoughi F, Ahmadi M. Towards the application of open source software in developing National Electronic Health Record-Narrative Review Article. Iran J Public Health. 2013;42(12):1333–9.
Jha AK, DesRoches CM, Campbell EG, Donelan K, Rao SR, Ferris TG, et al. Use of electronic health records in US hospitals. N Engl J Med. 2009;360(16):1628–38. CrossRef
ISO. ISO/TR 20514:health informatics-electronic health record-definition, scope and context. Switzerland ISO; 2005. https://www.sis.se/api/document/preview/906891. Accessed 2 Jan 2018.
Menachemi N, Collum TH. Benefits and drawbacks of electronic health record systems. Risk Manag Healthc Policy. 2011;4:47. CrossRef
Ozair FF, Jamshed N, Sharma A, Aggarwal P. Ethical issues in electronic health records: a general overview. Perspect Clin Res. 2015;6(2):73–6. CrossRef
Meidani Z, Sadoughi F, Maleki MR, Tofighi S, Marani AB. Organization’s quality maturity as a vehicle for EHR success. J Med Syst. 2012;36(3):1229–34. CrossRef
Weiskopf NG, Weng C. Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. J Am Med Inform Assoc. 2013;20(1):144–51. CrossRef
Raposo VL. Electronic health records: is it a risk worth taking in healthcare delivery? GMS Health Technol Assess. 2015. https://doi.org/10.3205/hta000123.
Hamamura FD, Withy K, Hughes K. Identifying barriers in the use of electronic health Records in Hawai ‘i. Hawaii J Med Public Health. 2017;76(3 Suppl 1):28–35.
Thakkar M, Davis DC. Risks, barriers, and benefits of EHR systems: a comparative study based on size of hospital. Perspect Health Inf Manag. 2006;3:5.
Vishwanath A, Scamurra SD. Barriers to the adoption of electronic health records: using concept mapping to develop a comprehensive empirical model. Health Informatics J. 2007;13(2):119–34. CrossRef
Ford EW, Menachemi N, Peterson LT, Huerta TR. Resistance is futile: but it is slowing the pace of EHR adoption nonetheless. J Am Med Inform Assoc. 2009;16(3):274–81. CrossRef
Menachemi N, Ford EW, Beitsch LM, Brooks RG. Incomplete EHR adoption: late uptake of patient safety and cost control functions. Am J Med Qual. 2007;22(5):319–26. CrossRef
Castillo VH, Martínez-García AI. Pulido J. a knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review. BMC Med Inform Decis Mak. 2010;10(1):60. CrossRef
Kruse CS, Mileski M, Alaytsev V, Carol E, Williams A. Adoption factors associated with electronic health record among long-term care facilities: a systematic review. BMJ Open. 2015;5(1):e006615. CrossRef
Alazzam MB, Basari ASH, Sibghatullah AS, Doheir M, Enaizan OM, Mamra AHK. Ehrs acceptance in Jordan hospitals by Utaut2 model: preliminary result. J Theor Appl Inf Technol. 2015;78(3):473.
Leblanc G, Gagnon M-P, Sanderson D. Determinants of primary care nurses’ intention to adopt an electronic health record in their clinical practice. Comput Inform Nurs. 2012;30(9):496–502. CrossRef
Khoumbati K. Handbook of research on advances in health informatics and electronic healthcare applications: global adoption and impact of information communication technologies: global adoption and impact of information communication technologies. Hershey: IGI Global; 2010.
Esfahani AA, Ahmadi H, Nilashi M, Alizadeh M, Bashiri A, Farajzadeh MA, et al. An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches. Int J Eng Technol. 2017;7(1):1. CrossRef
Greenes RA. Clinical decision support: the road ahead. Arizona State University and Mayo Clinic. Phoenix: Academic Press; 2011.
Ahmadi H, Nilashi M, Shahmoradi L, Ibrahim O. Hospital information system adoption: expert perspectives on an adoption framework for Malaysian public hospitals. Comput Hum Behav. 2017;67:161–89. CrossRef
Heimly V, Grimsmo A, Faxvaag A. Diffusion of electronic health records and electronic communication in Norway. Appl Clin Inform. 2011;2(3):355–64. CrossRef
Simon SR, Kaushal R, Cleary PD, Jenter CA, Volk LA, Orav EJ, et al. Physicians and electronic health records: a statewide survey. Arch Intern Med. 2007;167(5):507–12. CrossRef
Tavares J, Oliveira T. Electronic health record portal adoption: a cross country analysis. BMC Med Inform Decis Mak. 2017;17(1):97. CrossRef
Sherer SA, Meyerhoefer CD, Peng L. Applying institutional theory to the adoption of electronic health records in the US. Inf Manag. 2016;53(5):570–80. CrossRef
Borgatti SP, Mehra A, Brass DJ, Labianca G. Network analysis in the social sciences. Science. 2009;323(5916):892–5. CrossRef
Cela KL, Sicilia MÁ, Sánchez S. Social network analysis in e-learning environments: a preliminary systematic review. Educ Psychol Rev. 2015;27(1):219–46. CrossRef
Hua G, Haughton D. Virtual worlds adoption: a research framework and empirical study. Online Inf Rev. 2009;33(5):889–900. CrossRef
Masters K. For what purpose and reasons do doctors use the internet: a systematic review. Int J Med Inform. 2008;77(1):4–16. CrossRef
DiMaggio P, Powell WW. The iron cage revisited: collective rationality and institutional isomorphism in organizational fields. Am Sociol Rev. 1983;48(2):147–60. CrossRef
Nurunnabi M. Tensions between politico-institutional factors and accounting regulation in a developing economy: insights from institutional theory. Bus Ethics. 2015;24(4):398–424. CrossRef
Ab Talib MS, Md. Sawari SS, Abdul Hamid AB, Ai Chin T. Emerging halal food market: an institutional theory of halal certificate implementation. Management Research Review. 2016;39(9):987–97. CrossRef
Chau PY, Hu PJH. Information technology acceptance by individual professionals: a model comparison approach. DECISION SCI. 2001;32(4):699–719. CrossRef
Mishra D, Akman I, Mishra A. Theory of reasoned action application for green information technology acceptance. Comput Hum Behav. 2014;36:29–40. CrossRef
Poss JE. Developing a new model for cross-cultural research: synthesizing the health belief model and the theory of reasoned action. ANS Adv Nurs Sci. 2001;23(4):1–15. CrossRef
Nasri W, Charfeddine L. Factors affecting the adoption of internet banking in Tunisia: an integration theory of acceptance model and theory of planned behavior. J High Tech Manag Res. 2012;23(1):1–14. CrossRef
Lino S, Marshak HH, Herring RP, Belliard JC, Hilliard C, Campbell D, et al. Using the theory of planned behavior to explore attitudes and beliefs about dietary supplements among HIV-positive black women. Complement Ther Med. 2014;22(2):400–8. CrossRef
Gagnon M-P, Sánchez E, Pons JM. From recommendation to action: psychosocial factors influencing physician intention to use health technology assessment (HTA) recommendations. Implement Sci. 2006;1(1):8. CrossRef
Robinson J. Triandis' theory of interpersonal behaviour in understanding software piracy behaviour in the south African context. 2010. http://www.wiredspace.wits.ac.za/handle/10539/8377. Accessed 2 Jan 2018.
Donaldson T, Preston LE. The stakeholder theory of the corporation: concepts, evidence, and implications. Acad Manag Rev. 1995;20(1):65–91. CrossRef
Kowitlawakul Y, Chan SWC, Pulcini J, Wang W. Factors influencing nursing students' acceptance of electronic health records for nursing education (EHRNE) software program. Nurse Educ Today. 2015;35(1):189–94. CrossRef
Martins C, Oliveira T, Popovič A. Understanding the internet banking adoption: a unified theory of acceptance and use of technology and perceived risk application. Int J Inf Manag. 2014;34(1):1–13. CrossRef
Oliveira T, Thomas M, Espadanal M. Assessing the determinants of cloud computing adoption: an analysis of the manufacturing and services sectors. Inf Manag. 2014;51(5):497–510. CrossRef
Dwivedi YK, Wade MR, Schneberger SL. Information systems theory: explaining and predicting our digital society. New York: Springer Science & Business Media; 2011.
Gardner C, Amoroso DL, editors. Development of an instrument to measure the acceptance of internet technology by consumers. Proceedings of the 37th Annual Hawaii International Conference on System Sciences. 2004. https://doi.org/10.1109/HICSS.2004.1265623.
Gupta KP, Singh S, Bhaskar P. Citizen adoption of e-government: a literature review and conceptual framework. Electronic Government, an International Journal. 2016;12(2):160–85. CrossRef
Hennington A, Janz BD. Information systems and healthcare XVI: physician adoption of electronic medical records: applying the UTAUT model in a healthcare context. Comm Assoc Inform Syst. 2007;19(1):5.
Ally M, Gardiner M. The moderating influence of device characteristics and usage on user acceptance of Smart Mobile Devices. Proceedings of the 23rd Australasian Conference on Information Systems (ACIS 2012); 2012: Australasian Conference on Information Systems (ACIS).
Venkatesh V, Thong JY, Xu X. Unified theory of acceptance and use of technology: a synthesis and the road ahead. J Assoc Inform Syst Online. 2016;17(5):328–76.
Oliveira M, Gama J. An overview of social network analysis. Wiley Interdiscip Rev Data Min Knowl Discov. 2012;2(2):99–115. CrossRef
Rowley TJ. Moving beyond dyadic ties: a network theory of stakeholder influences. Acad Manag Rev. 1997;22(4):887–910. CrossRef
Mahon JF, Heugens PP, Lamertz K. Social networks and non-market strategy. J Public Aff. 2004;4(2):170–89. CrossRef
Sciarelli M, Tani M. Network approach and stakeholder management. J Bus Syst Rev. 2013;2(2):175–90.
Clement RW. The lessons from stakeholder theory for US business leaders. Bus Horiz. 2005;48(3):255–64. CrossRef
Peltokorpi A, Alho A, Kujala J, Aitamurto J, Parvinen P. Stakeholder approach for evaluating organizational change projects. Int J Health Care Qual Assur. 2008;21(5):418–34. CrossRef
Werhane PH. Business ethics, stakeholder theory, and the ethics of healthcare organizations. Camb Q Healthc Ethics. 2000;9(2):169–81.
Freeman RE, Phillips RA. Stakeholder theory: a libertarian defense. Bus Ethics Q. 2002;12(3):331–49. CrossRef
Freeman RE, Harrison JS, Wicks AC, Parmar BL, De Colle S. Stakeholder theory: the state of the art. Bus ethics Q. New York: Cambridge University Press; 2010. p. 179–85. CrossRef
Hsu P-F, Kraemer KL, Dunkle D. Determinants of e-business use in US firms. Int J Electron Commer. 2006;10(4):9–45. CrossRef
Oliveira T, Martins MF. Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation. 2011;14(1):110–21.
Fleuren M, Wiefferink K, Paulussen T. Determinants of innovation within health care organizations: literature review and Delphi study. Int J Qual Health Care. 2004;16(2):107–23. CrossRef
Alshamaila Y, Papagiannidis S, Li F. Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. J Enterp Inf Manag. 2013;26(3):250–75. CrossRef
Baker J. The technology–organization–environment framework. In: Dwivedi YK, Wade MR, Schneberger SL, editors. Information systems theory: explaining and predicting our digital society. New York: Springer New York; 2012. p. 231–45. CrossRef
Arpaci I, Yardimci YC, Ozkan S, Turetken O. Organizational adoption of information technologies: a literature review. International Journal of eBusiness and eGovernment Studies. 2012;4(2):37–50.
Durand R, Grant RM, Madsen TL, Zhao EY, Fisher G, Lounsbury M, et al. Optimal distinctiveness: broadening the interface between institutional theory and strategic management. Strateg Manag J. 2017;38(1):93–113. CrossRef
Doluwarawaththa Gamage SD, Doluwarawaththa Gamage SD, Gooneratne T, Gooneratne T. Management controls in an apparel group: an institutional theory perspective. J Appl Acc Res. 2017;18(2):223–41.
Heikkilä J-P. An institutional theory perspective on e-HRM’s strategic potential in MNC subsidiaries. J Strat Inform Syst. 2013;22(3):238–51. CrossRef
Mohr RA. An institutional perspective on rational myths and organizational change in health care. Med Care Rev. 1992;49(2):233–55. CrossRef
Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. CrossRef
Tonglet M, Phillips PS, Read AD. Using the theory of planned behaviour to investigate the determinants of recycling behaviour: a case study from Brixworth, UK. Resour Conserv Recycl. 2004;41(3):191–214. CrossRef
Ali M, Saeed MMS, Ali MM, Haidar N. Determinants of helmet use behaviour among employed motorcycle riders in Yazd, Iran based on theory of planned behaviour. Injury. 2011;42(9):864–9. CrossRef
Sniehotta FF, Presseau J, Araújo-Soares V. Time to retire the theory of planned behaviour. Health Psychol Rev. 2014;8(1):1–7. CrossRef
Taherdoost H. A review of technology acceptance and adoption models and theories. Procedia Manuf. 2018;22:960–7. CrossRef
Pee LG, Woon IM, Kankanhalli A. Explaining non-work-related computing in the workplace: a comparison of alternative models. Inf Manag. 2008;45(2):120–30. CrossRef
Chang MK, Cheung W. Determinants of the intention to use internet/WWW at work: a confirmatory study. Inf Manag. 2001;39(1):1–14. CrossRef
Gagnon M-P, Godin G, Gagné C, Fortin J-P, Lamothe L, Reinharz D, et al. An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians. Int J Med Inform. 2003;71(2):103–15. CrossRef
Gagnon M-P, Légaré F, Fortin J-P, Lamothe L, Labrecque M, Duplantie J. An integrated strategy of knowledge application for optimal e-health implementation: a multi-method study protocol. BMC Med Inform Decis Mak. 2008;8(1):17. CrossRef
Facione NC. The Triandis model for the study of health and illness behavior: a social behavior theory with sensitivity to diversity. ANS Adv Nurs Sci. 1993;15(3):49–58. CrossRef
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. CrossRef
Chang A. UTAUT and UTAUT 2: a review and agenda for future research. The Winners. 2012;13(2):10–114. CrossRef
Lazakidou AA. Handbook of research on distributed medical informatics and e-health. Hershey: IGI Global; 2009. CrossRef
Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Manag Sci. 1989;35(8):982–1003. CrossRef
Silva PM, Dias GA. Theories about technology accepentace: why the users accept or reject the information technology? Brazilian Journal of Information Science: Research Trends. 2007;1(2).
Wu M-Y, Chou H-P, Weng Y-C, Huang Y-H. TAM-2 based study of website user behavior-using web 2.0 websites as an example. WSEAS Trans Bus Econ. 2011;4(8):133–51.
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9. CrossRef
Beglaryan M, Petrosyan V, Bunker E. Development of a tripolar model of technology acceptance: hospital-based physicians’ perspective on EHR. Int J Med Inform. 2017;102:50–61. CrossRef
Steininger K, Stiglbauer B. EHR acceptance among Austrian resident doctors. Health Policy Technol. 2015;4(2):121–30. CrossRef
Tavares J, Oliveira T. Electronic health record patient portal adoption by health care consumers: an acceptance model and survey. J Med Internet Res. 2016;18(3):e49. CrossRef
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. CrossRef
Steininger K, Stiglbauer B, Baumgartner B, Engleder B, editors. Factors explaining physicians' acceptance of electronic health records. 47th Hawaii International Conference On System Sciences. 2014. https://doi.org/10.1109/HICSS.2014.347.
Wee YH, Zhou Y, Tayi GK. IT-enabled healthcare integration: the case of National Electronic Health Records in Singapore. Pacific Asia conference on information systems (PACIS); 2015. https://www.aisel.aisnet.org/pacis2015/124. Accessed 2 Jan 2018.
Gagnon M-P, Ouimet M, Godin G, Rousseau M, Labrecque M, Leduc Y, et al. Multi-level analysis of electronic health record adoption by health care professionals: a study protocol. Implement Sci. 2010;5(1):30. CrossRef
Zheng K, Padman R, Krackhardt D, Johnson MP, Diamond HS. Social networks and physician adoption of electronic health records: insights from an empirical study. J Am Med Inform Assoc. 2010;17(3):328–36. CrossRef
Morton ME, Wiedenbeck S. A framework for predicting EHR adoption attitudes: a physician survey. Perspect Health Inf Manag. 2009;6.
Gagnon M-P, Ghandour EK, Talla PK, Simonyan D, Godin G, Labrecque M, et al. Electronic health record acceptance by physicians: testing an integrated theoretical model. J Biomed Inform. 2014;48:17–27. CrossRef
Tavares J, Oliveira T. Electronic health record portal adoption by health care consumers-proposal of a new adoption model. International Conference on Web Information Systems and Technologies. 2014. https://doi.org/10.5220/0004947003870393.
Sherer SA. Information systems and healthcare XXXIII: an institutional theory perspective on physician adoption of electronic health records. Co Comm Assoc Inform Syst. 2010;26(1):7.
Hewitt B. Using a hybrid technology acceptance model to explore how security measures affect the adoption of electronic health record systems. Proceedings of the 15th Americas conference on information systems (AMCIS). 2009. https://www.aisel.aisnet.org/amcis2009/328. Accessed 2 Jan 2018.
Wilkins MA. Factors influencing acceptance of electronic health records in hospitals. Perspect Health Inf Manag 2009;6.
Lee C-P, Shim JP. An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry. Eur J Inf Syst. 2007;16(6):712–24. CrossRef
Hui H, Radzi WM, Jasimah CW, Jenatabadi HS, Abu Kasim F, Radu S. The impact of firm age and size on the relationship among organizational innovation, learning, and performance: A moderation analysis in Asian food manufacturing companies. Interdiscipl J Contemp Res Bus. 2013;5(3).
- The used theories for the adoption of electronic health record: a systematic literature review
- Springer Berlin Heidelberg
Health and Technology
Print ISSN: 2190-7188
Elektronische ISSN: 2190-7196
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