Information technology acceptance in health information management
Abstract
OBJECTIVE: User acceptance of information technology has been a significant area of research for more than two decades in the field of information technology. This study assessed the acceptance of information technology in the context of Health Information Management (HIM) by utilizing Technology Acceptance Model (TAM) which was modified and applied to assess user acceptance of health information technology as well as viability of TAM as a research construct in the context of HIM. METHODS: This was a descriptive- analytical study in which a sample of 187 personnel from a population of 363 personnel, working in medical records departments of hospitals affiliated to Tehran University of Medical Sciences, was selected. Users' perception of applying information technology was studied by a researcher-developed questionnaire. Collected data were analyzed by SPSS software (version16) using descriptive statistics and regression analysis. RESULTS: The results suggest that TAM is a useful construct to assess user acceptance of information technology in the context of HIM. The findings also evidenced the perceived ease of use (PEOU) and perceived usefulness (PE) were positively associated with favorable users' attitudes towards HIM. PU was relatively more associated (r= 0.22, p = 0.05) than PEOU (r = 0.014, p = 0.05) with favorable user attitudes towards HIM. CONCLUSIONS: Users' perception of usefulness and ease of use are important determinants providing the incentive for users to accept information technologies when the application of a successful HIM system is attempted. The findings of the present study suggest that user acceptance is a key element and should subsequently be the major concern of health organizations and health policy makers.
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TTF has been useful in predicting user acceptance and adoption of technologies and in identifying potential barriers to adoption.
“It has been useful in predicting user acceptance and adoption of technologies and in identifying potential barriers to adoption that can be addressed to facilitate a successful implementation (Abdekhoda et al., 2014; Taherdoost, 2022).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Abdekhoda et al., 2014
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Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,557 · see citing works
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635 · see citing works
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace <sup>1</sup>
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · cited 3× · see citing works
“(1995) found no significant relationship between PEOU and attitude [27, 28] while a number of studies maintained that PEOU could indirectly affect the acceptance of IT through PU [29] and PEOU which might be a determining factor in accepting IT.”
ResultAgarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726 · see citing works
A Theoretical Integration of User Satisfaction and Technology Acceptance
Wixom, B. H., & Todd, P. A. (2005) · Information Systems Research · doi:10.1287/isre.1050.0042 · Cited by 2,835 · see citing works
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669 · see citing works
The Technology Acceptance Model: Past, Present, and Future
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003) · Communications of the Association for Information Systems · doi:10.17705/1cais.01250 · Cited by 2,572 · see citing works
The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption
Drexel University, Gefen, D., Straub, D., & Georgia State University (2000) · Journal of the Association for Information Systems · doi:10.17705/1jais.00008 · Cited by 1,833 · see citing works
Schepers, J., & Wetzels, M. G. M. (2006) · Information & Management · doi:10.1016/j.im.2006.10.007 · Cited by 1,690 · see citing works
Communications of the Association for Information Systems
(2017) · Communications of the Association for Information Systems · doi:10.17705/1cais · Cited by 1,612 · see citing works
Chau, P. Y. K., & Hu, P. J. (2002) · Information & Management · doi:10.1016/s0378-7206(01)00098-2 · Cited by 1,098 · see citing works
The effects of self-efficacy on computer usage
Igbaria, M. (1995) · Omega · doi:10.1016/0305-0483(95)00035-6 · Cited by 1,036 · see citing works
The Technology Acceptance Model: A Meta-Analysis of Empirical Findings
Ma, Q., & Liu, L. (2004) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2004010104 · Cited by 660 · cited 1× · see citing works
“The literature shows inconsistent findings for the relationship between PEOU and attitude towards using IT [24, 25].”
BackgroundApplying the Technology Acceptance Model to the introduction of healthcare information systems
Pai, F., & Huang, K.-I. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.11.007 · Cited by 534 · see citing works
Technology Acceptance among Physicians: A New Take on TAM
Yarbrough, A. K., & Smith, T. B. (2007) · Medical Care Research and Review · doi:10.1177/1077558707305942 · Cited by 482 · see citing works
A Replication of Perceived Usefulness and Perceived Ease of Use Measurement*
Subramanian, G. H. (1994) · Decision Sciences · doi:10.1111/j.1540-5915.1994.tb01873.x · Cited by 471 · see citing works
Usefulness and ease of use: field study evidence regarding task considerations
Keil, M., Beranek, P. M., & Konsynski, B. R. (1995) · Decision Support Systems · doi:10.1016/0167-9236(94)e0032-m · Cited by 430 · see citing works
Schaper, L. K., & Pervan, G. P. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.05.028 · Cited by 371 · see citing works
Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors
Ortega Egea, J. M., & Román González, M. V. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.010 · Cited by 287 · see citing works
Wu, J.-H., Shen, W.-S., Lin, L.-M., Greenes, R. A., & Bates, D. W. (2007) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzm074 · Cited by 235 · see citing works
Information technologies: when will they make it into physicians' black bags?
Audet, A., Doty, M. M., Peugh, J., Shamasdin, J., Zapert, K., & Schoenbaum, S. C. (2004) · PubMed Central · Cited by 153 · see citing works
Lin, C.-H., Lin, I.-C., & Roan, J. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9656-7 · Cited by 137 · see citing works
Organizational Aspects of Health Informatics: Managing Technological Change
Lorenzi, N. M., & Riley, R. T. (1994) · Cited by 115 · see citing works
Pynoo, B., Devolder, P., Voet, T., Adang, L., Vercruysse, J., & Duyck, P. (2008) · Methods of Information in Medicine · doi:10.3414/me0477 · Cited by 111 · see citing works
THE STATE OF RESEARCH ON INFORMATION SYSTEM SATISFACTION
Khalifa, M., & Liu, V. (2004) · Journal of the Association for Information Systems · Cited by 82 · see citing works
IDT-TAM integrated model for IT adoption
Zhang, N., Guo, X., & Chen, G. (2008) · Tsinghua Science & Technology · doi:10.1016/s1007-0214(08)70049-x · Cited by 79 · see citing works
Organizational Aspects of Health Informatics
Lorenzi, N. M., & Riley, R. T. (1995) · Springer eBooks · doi:10.1007/978-1-4757-4184-1 · Cited by 65 · see citing works
Use and acceptance of an electronic health record
Morton, M. E., Wiedenbeck, S., & McCain, K. W. (2008) · doi:10.17918/etd-2905 · Cited by 33 · see citing works
Factors influencing acceptance of electronic health records in hospitals.
Wilkins, M. (2009) · PubMed · Cited by 28 · see citing works
Acceptance and Use of Information Technology among Nurses in Psychiatric Hospitals
Koivunen, M. H. (2009) · UTUPub (University of Turku) · Cited by 13 · see citing works
Modeling end-users’ acceptance of a knowledge authoring tool
Del Fiol, G., Rocha, R. A., & Hulse, N. C. (2006) · Methods of Information in Medicine · doi:10.1055/s-0038-1634114 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- [6]6. Yarbrough AK, Smith TB. Technology acceptance a mong physicians. Medical Care Research and Review2007; 64 (6): 650 - 672.
- [9]9. Malcolm CL. Five e-business strategies you can take to the bank. Healthcare financial management. Journal of the Healthcare Financial Management Association 2001; 55 (9): 72.
- [29]29. Davis FD, Bagozzi RP, Warshaw PR. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology 1992; 22 (14): 1111-1132.
- [39]39. Chen YC, Shang RN, Ho TY, Hesieh SC. The behavioral intention to use e systems for employees in Public Utility Company: Analysis based on TAM and TTF. J E Bus 2008; 10 (1): 305 -327.
Cited by
Sorted by citations
A Systematic Review of the Technology Acceptance Model in Health Informatics
Rahimi, B., Nadri, H., Lotfnezhad Afshar, H., & Timpka, T. (2018) · Applied Clinical Informatics · doi:10.1055/s-0038-1668091 · Cited by 688 · see citing works
Goswami, M., Jain, S., Alam, T., Deifalla, A. F., Ragab, A. E., & Khargotra, R. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1215706 · Cited by 33 · see citing works
- Authors
- Abdekhoda, M., Dehnad, A., Hosseini, A. F., & Ahmadi, M.
- Affiliations
- Iran University of Medical Sciences (IR)
- Corresponding author
- Ahmadi, M.
- Venue
- Methods of Information in Medicine
- Publisher
- Georg Thieme Verlag KG
- Published
- 2014
- Volume
- 53
- Issue
- 01
- Pages
- 14-20
- ISSN
- 0026-1270 (ISSN-L)
- 2511-705X
- OpenAlex
- W1985534934
- Cited by
- 60
- References
- 36
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 4 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 8 · 2019: 8 · 2018: 3 · 2017: 6 · 2016: 4 · 2015: 3 · 2014: 2
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Methods of Information in Medicine (publishedVersion)
- PubMed (publishedVersion)
- E-LIS Repository (University of Naples Federico II) (acceptedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- technology acceptance, health information management, technology acceptance model, perceived ease of use, perceived usefulness, user attitudes, medical records department, health information technology, user acceptance
- MeSH terms
- Attitude of Health Personnel, Attitude to Computers, Hospitals, University, Iran, Medical Informatics, Medical Records Department, Hospital, Surveys and Questionnaires, Electronic Health Records, Health Information Management
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