The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
An investigation on physicians’ acceptance of hospital information systems: A case study
Abstract
Purpose Information technology is used to support a wide range of highly specified healthcare tasks and services. There is, therefore, a need to understand the factors affecting the acceptance of this technology by healthcare professionals. Physicians are key providers of healthcare services and are among the principal users of hospital information systems. Their acceptance of hospital information systems is hence of great significance when evaluating the success of those systems.Method The survey methodology was employed to targeted physicians in the selected case hospital for investigating factors affecting physicians' acceptance of hospital information systems. A total of 202 questionnaires were sent out, with 124 completed copies returned, indicating a valid response rate of 61.4%. We used structural equation modeling to analyze the data.Results The results indicated that top management support (γ=0.431, p<0.001) had a significant impact on perceived usefulness. Project team competency (γ=0.381, p<0.001) and system quality (γ=0.369, p<0.001) had a significant impact on physicians' perceived ease of use of hospital information systems. Physicians' perceptions of the usefulness (β=0.132, p<0.05, R(2)=0.296) and ease of use (β=0.952, p<0.001, R(2)=0.784) of hospital information systems had a significant impact on the acceptance of the systems, accounting for 81.4% of total explained variance.Conclusions Through the understanding of the identified critical factors affecting physicians' HIS acceptance, the planners and managers should ensure that hospital information systems to be introduced into a hospital are useful and ease to use. Effort should be focuses on providing sufficient top management support, selecting qualified project team members, and delivering higher system quality in addressing physicians' clinical needs. Thus, our research results can help planners and managers understand key considerations affecting HIS development and use, and may be used as a reference for system design, development and implementation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“According to the technology acceptance model (TAM) [22] and study on the influence of individual characteristics on the evaluation of hospital information system from Chen [23], high level of professional experience improves self-efficacy on the technology and task, and is negatively related to mental workload and could increase task performance.”
From Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study (2023) · cites this paper as [23]
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
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
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
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
Einax, J. W., Zwanziger, H. W., & Geiß, S. (1997) · Wiley eBooks · doi:10.1002/352760216x.ch5 · Cited by 18,779
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791
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
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
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
Examining the technology acceptance model using physician acceptance of telemedicine technology
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518247 · Cited by 1,951
An Empirical Investigation of the Factors Affecting Data Warehousing Success1
Wixom, B. H., & Watson, H. J. (2001) · MIS Quarterly · doi:10.2307/3250957 · Cited by 1,477
Information technology acceptance by individual professionals: a model comparison approach
Chau, P. Y. K., & Hu, P. J. (2001) · Decision Sciences · doi:10.1111/j.1540-5915.2001.tb00978.x · Cited by 1,409
Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006) · Information & Management · doi:10.1016/j.im.2005.08.006 · Cited by 1,139
An Empirical Investigation of the Factors Affecting Data Warehousing Success
Kim, B.-G. (2005) · Cited by 887
An empirical test of the DeLone-McLean model of information system success
Iivari, J. (2005) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1066149.1066152 · Cited by 762
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.08.011 · Cited by 740
Chau, P. Y. K., & Hu, P. J. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045699 · Cited by 707
Mobile computing acceptance factors in the healthcare industry: a structural equation model
Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.06.006 · Cited by 603
Using a modified technology acceptance model in hospitals
AGGELIDIS, V, & CHATZOGLOU, P. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.06.006 · Cited by 553
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
TUNG, F., CHANG, S., & CHOU, C. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.06.006 · Cited by 476
Pragmatic Perspectives on the Measurement of Information Systems Service Quality1
Kettinger, W. J., & Lee, C. C. (1997) · MIS Quarterly · doi:10.2307/249421 · Cited by 450
The adoption of mobile healthcare by hospital's professionals: An integrative perspective
Wu, I., Li, J.-Y., & Fu, C.-Y. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.03.003 · Cited by 429
Translating Instruments Into Other Languages: Development and Testing Processes
Hilton, A., & Skrutkowski, M. (2002) · Cancer Nursing · doi:10.1097/00002820-200202000-00001 · Cited by 379
User Developed Applications and Information Systems Success
McGill, T. J., Hobbs, V. J., & Klobas, J. E. (2003) · Information Resources Management Journal · doi:10.4018/irmj.2003010103 · Cited by 374
Determinants of Success of Inpatient Clinical Information Systems: A Literature Review
van der Meijden, M. J. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1094 · Cited by 363
Gagnon, M.-P., Godin, G., Gagné, C., Fortin, J.-P., Lamothe, L., Reinharz, D., & Cloutier, A. (2003) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(03)00094-7 · Cited by 304
Does the extended technology acceptance model apply to physicians
Chismar, W. G., & Wiley-Patton, S. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2003.1174354 · Cited by 302
Factors influencing the adoption of web-based shopping
Slyke, C. V., Bélanger, F., & Comunale, C. L. (2004) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1007965.1007969 · Cited by 273
Health IT acceptance factors in long-term care facilities: A cross-sectional survey
Yu, P., Li, H., & Gagnon, M. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.07.006 · Cited by 238
Pare, G., Sicotte, C., & Jacques, H. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1930 · Cited by 222
Teng, J. T. C., Grover, V., & Güttler, W. (2002) · IEEE Transactions on Engineering Management · doi:10.1109/17.985744 · Cited by 221
Nurses resisting information technology
Timmons, S. (2003) · Nursing Inquiry · doi:10.1046/j.1440-1800.2003.00177.x · Cited by 197
Strategic Information Management in Hospitals: An Introduction to Hospital Information Systems
Haux, R., Gardner, R. M., Brigl, B., & Ammenwerth, E. (2004) · Cited by 146
Alquraini, H., Alhashem, A. M., Shah, M. A., & Chowdhury, R. I. (2007) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2007.04113.x · Cited by 104
Factors of Adoption of Mobile Information Technology by Homecare Nurses
Zhang, H., Cocosila, M., & Archer, N. (2009) · CIN Computers Informatics Nursing · doi:10.1097/ncn.0b013e3181c0474a · Cited by 97
Clinical acceptance of a low-cost portable system for postural assessment
Van Schaik, P., Bettany-Saltikov, J. A., & Warren, J. G. (2002) · Behaviour & Information Technology · doi:10.1080/01449290110107236 · Cited by 93
Watson, H. J., & Haley, B. J. (1998) · Communications of the ACM · doi:10.1145/285070.285077 · Cited by 93
Evaluation of User Acceptance of a Clinical Expert System
Gardner, R. M., & Lundsgaarde, H. P. (1994) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1994.95153432 · Cited by 92
Review: evaluating information systems in nursing
Oroviogoicoechea, C., Elliott, B., & Watson, R. (2008) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2007.01985.x · Cited by 82
e-Records in health—Preserving our future
Scott, R. E. (2006) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.09.007 · Cited by 81
Otieno, G., Toyama, H., Asonuma, M., Kanai‐Pak, M., & Keiko, N. (2007) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2007.04384.x · Cited by 79
Development of a Measure of Clinical Information Systems Expectations and Experiences
Wakefield, D. S., Halbesleben, J. R. B., Ward, M. M., Qiu, Q., Brokel, J. M., & Crandall, D. K. (2007) · Medical Care · doi:10.1097/mlr.0b013e3180653625 · Cited by 61
Perceived ease of use and usefulness of bedside-computer systems.
Tw, D., McDowell, D., Salimian, F., & Conklin, D. (1998) · PubMed · Cited by 51
Organisational influences on nurses’ use of clinical decision support systems
Randell, R., & Dowding, D. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.02.003 · Cited by 50
Medical studentsʼ and housestaffʼs opinions of computerized order-writing
Tierney, W. M., Overhage, J. M., McDonald, C. J., & Wolinsky, F. D. (1994) · Academic Medicine · doi:10.1097/00001888-199405000-00013 · Cited by 45
Nursing Self-efficacy of an Integrated Clinical and Administrative Information System
Dillon, T. W., Lending, D., Crews, T. R., & Blankenship, R. J. (2003) · CIN Computers Informatics Nursing · doi:10.1097/00024665-200307000-00010 · Cited by 41
Nursing Informatics: Advances and trends to improve health care quality
Marin, H. F. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.07.003 · Cited by 20
The “Lost Generation”: IT education for healthcare professionals
Kidd, M. R., & McPhee, W. (1999) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1999.tb123778.x · Cited by 20
Taxonomy for multi-perspective assessment of the value of health information systems
Fitterer, R., Mettler, T., Rohner, P., & Winter, R. (2010) · International Journal of Healthcare Technology and Management · doi:10.1504/ijhtm.2011.037220 · Cited by 10
Research works printed but not linked: 2
- Tseng, 2009, Applying technology acceptance model to examine factors related to nurses’ acceptance for the use of mobile nursing station in hospitals, J. Taiwan Assoc. Med. Inform., 18, 23
- Chen, 2006, Psychosocial work environment and self-rated health: a comparative study of DC and ERI models in a sample of medical specialists, Taiwan J. Public Health, 25, 93
Cited by
Sorted by citations
Kim, S., Lee, K., Hwang, H. Y., & Yoo, S. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0249-8 · Cited by 321
Predictive factors of telemedicine service acceptance and behavioral intention of physicians
Rho, M. J., Choi, I. Y., & Lee, J. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.05.005 · Cited by 260
Chen, C., & Tsai, J. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.028 · Cited by 232
Predictive factors of physicians’ satisfaction with telemedicine services acceptance
Kissi, J., Dai, B., Dogbe, C. S., Banahene, J., & Ernest, O. (2020) · Health Informatics Journal · doi:10.1177/1460458219892162 · Cited by 157
Shiferaw, K. B., & Mehari, E. A. (2019) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2019.100182 · Cited by 162
Metadata
- Authors
- Chen, R.-F., & Hsiao, J.-L.
- Affiliations
- Chia Nan University of Pharmacy and Science (TW)
- Corresponding author
- Hsiao, Ju-Ling
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 81
- Issue
- 12
- Pages
- 810-820
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2007697106
- Cited by
- 150
- References
- 51
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 6 · 2023: 12 · 2022: 10 · 2021: 11 · 2020: 14 · 2019: 17 · 2018: 11 · 2017: 11 · 2016: 19 · 2015: 14 · 2014: 12 · 2013: 4
- FWCI
- 19.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- 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 › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Keywords
- hospital information systems, physician acceptance, technology acceptance, top management support, perceived usefulness, perceived ease of use, system quality, health information technology
- MeSH terms
- Adult, Attitude of Health Personnel, Attitude to Computers, Female, Hospital Information Systems, Humans, Male, Middle Aged, Perception, Practice Patterns, Physicians', Physicians, Surveys and Questionnaires, Models, Statistical, Self Efficacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review