Health information systems with technology acceptance model approach: A systematic review.

Autor: Tetik G; Department of Health Management, Faculty of Health Sciences, Marmara University, 34722 Istanbul, Turkey; Department of Health Management, Istanbul Gelisim University, 34310 Istanbul, Turkey. Electronic address: gozdetetik@marun.edu.tr., Türkeli S; Department of Health Informatics and Technologies, Faculty of Health Sciences, Marmara University, 34722 Istanbul, Turkey., Pinar S; Faculty of Postgraduate Education, Bahcesehir University, 34353 Istanbul, Turkey; Department of Business Administration, Faculty Art and Social Sciences, Istanbul Galata University, Istanbul, Turkey., Tarim M; Department of Health Management, Faculty of Health Sciences, Marmara University, 34722 Istanbul, Turkey.
Jazyk: angličtina
Zdroj: International journal of medical informatics [Int J Med Inform] 2024 Oct; Vol. 190, pp. 105556. Date of Electronic Publication: 2024 Jul 20.
DOI: 10.1016/j.ijmedinf.2024.105556
Abstrakt: In the rapidly evolving landscape of information technologies, individuals and organizations must adapt to the digital age. Given the diversity in users' knowledge and experience with technology, their acceptance levels also vary. Over the past 30 years, various theoretical models have been introduced to provide a framework for understanding user acceptance of technology. Among these, the Technology Acceptance Model (TAM) stands out as a key theoretical framework, offering insights into why new technologies are either accepted or rejected. Analyzing user acceptance of technology has thus become a critical area of study. Healthcare organizations aim to assess the perceived efficacy and user-friendliness of a given technology. This will help health organisations design and implement HIS that meet users' needs and preferences. In this context, how does the TAM clarify the acceptance and use of Health Information Systems (HIS)? To address this inquiry, a comprehensive literature review will be carried out. The systematic review involved 29 studies issued between 2018 and 2023 and searched the databases Pubmed, Scopus, Wos and Ulakbim TR Index. The PRISMA flowchart was used to identify the included studies. According to the results, some variables stand out in the acceptance and utilisation of HIS. Among the users of HIS, it can be said that the results relating to nurses stand out. In particular, there are studies which emphasise that 'gender' is a crucial factor in explaining the models. Another crucial finding of the current systematic review is the need to train users in the acceptance and use of HIS.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024. Published by Elsevier B.V.)
Databáze: MEDLINE
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