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Volume 6, Issue 2 (Summer 2020)                   JMIS 2020, 6(2): 73-81 | Back to browse issues page


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jamal H, fazaeli S, ebnhosini Z, tabesh H, samadbeik M, mahmoudian S S et al . Evaluation criteria for health information systems using human, organization and technology-Fit (HOT-Fit) Framework: Comprehensive review. JMIS. 2020; 6 (2) :73-81
URL: http://jmis.hums.ac.ir/article-1-207-en.html
Department of Medical Records and Health Information Technology, School of Paramedical Sciences
Abstract:   (1319 Views)
Aim: Nowadays, the concentration of information systems evaluation is changing from technical issues toward humanoid and organizational subjects. To evaluate the interrelationships between these three dimensions in health systems, the HOT-Fit Assessment Framework (HOT-Fit) was proposed in 2006. Therefore, this study was conducted to identify accurate criteria for evaluating systems based on this model.
Information sources or data: In the field of health information evaluation using HOT-Fit criteria, articles in PubMed, Scopus, and Persian e-databases including Iran Public Information Database (Magiran), Iran University Jihad Scientific Information Database, and Irandoc were searched from 2006 to 2019.
Selection methods for study: The extracted articles were reviewed by content analysis method. From 1062 articles, 18 articles were selected after eliminating duplicated articles and unrelated articles according to their title, abstract and full text.
Combine content and Results: After reviewing evaluation criteria of health information systems using HOT-Fit framework, 130 benchmarks were obtained from databases in four different dimensions including technical (n=51), organizational (n=36), human (n=33) and net profit dimensions (n=10).
Conclusion: In this comprehensive review, we tried to provide a practical and comprehensive view of the evaluation of hospital information systems using the HOT-Fit model. This model can be used for all health hospital information system. Generally, the results of this review can be useful for information technology policymakers in determining health information systems evaluation criteria.
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Type of Study: Review | Subject: Special
Received: 2020/01/4 | Accepted: 2020/05/22 | Published: 2020/08/31

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