ArticleJournal of family medicine and primary care2020
Understanding key factors affecting on hospital electronic health record (EHR) adoption.
Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Patients' and Providers' Attitudes Toward Artificial Intelligence and Electronic Health Record Use in Deep Phenotyping and Rare-Disease Screening: An Empty Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions.JMIR human factors · 2026Article
- Facilitators and Barriers to Uptake of Drug-Drug Interaction Alerts: Perspectives of Australian End Users and Managers.Applied clinical informatics · 2025Article
- The mediating effects of perceived usefulness and perceived ease of use on nurses' intentions to adopt advanced technology.BMC nursing · 2025Article
- Investigating Physicians' Adoption of Telemedicine in Romania Using Technology Acceptance Model (TAM).Healthcare (Basel, Switzerland) · 2024Article
- Investigating the Effective Factors on the Acceptance of Teleorthodontic Technology Based on the Technology Acceptance Model 3 (TAM3).Journal of dentistry (Shiraz, Iran) · 2024Article
- Technology adoption of electronic medical records in developing economies: A systematic review on physicians' perspective.Digital healthReview
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThis study investigated the factors affecting the acceptance of hospital electronic health record (EHR) adoption by users based on Technology Acceptance Model3 (TAM3).
methodsThe self-administered TAM3 questionnaire was used for data gathering. Content validity and reliability of the TAM3 questionnaire were measured. The relation between dependent, independent, and mediator variables was analyzed using multiple regression analysis.
resultsThe results from 224 users indicated that subjective norm, job relevance, output quality, voluntariness, computer experience have significant impacts on perceived usefulness. Also, perceptions of external control and computer anxiety were identified as having significant impacts on perceived ease of use. Perceived usefulness did not have a mediator role between result demonstrability and behavioral intention. Perceived ease of use was not found to be a mediating factor in the relationship between computer self- efficacy and behavioral intention, as well as perceived enjoyment.
conclusionsThe findings of the current study, provide valuable scientific evidence for key affecting factors on hospital EHR in Iran as a developing country. Our results showed the main constructs and relationships depicted in the TAM3 were found to be applicable to assess the adoption of hospital EHR.
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