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.
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High level of professional experience improves self-efficacy on the technology and task, is negatively related to mental workload, and could increase task performance.
“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]
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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
- 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 › Sociology and Political Science › 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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