Cited by 150Technology Adoption and User BehaviourElectronic Health Records SystemsInformation Systems Theories and Implementation

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An investigation on physicians’ acceptance of hospital information systems: A case study

Chen, Rai-Fu, Hsiao, Ju-Ling·2012·International Journal of Medical Informatics

DOI 10.1016/j.ijmedinf.2012.05.003

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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.

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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
Multivariate Data Analysis.
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
Multivariate Data Analysis
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

Show all 51 references

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

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Authors: Chen, R.-F., & Hsiao, J.-L.
Affiliations: Chia Nan University of Pharmacy and Science (TW)
Corresponding author: Hsiao, Ju-Ling
ORCID: Chen, Rai-Fu
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)
DOI: 10.1016/j.ijmedinf.2012.05.003
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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

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An investigation on physicians’ acceptance of hospital information systems: A case study

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