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Factors influencing the adoption of health information technologies: a systematic review
INTRODUCTION: The successful implementation of health information technologies requires investigating the factors affecting the acceptance and use of them. The aim of this study was to determine the most important factors affecting the adoption of health information technologies by doing a systemati...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Electronic physician
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053450/ https://www.ncbi.nlm.nih.gov/pubmed/27757179 http://dx.doi.org/10.19082/2713 |
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author | Garavand, Ali Mohseni, Mohammah Asadi, Heshmatollah Etemadi, Manal Moradi-Joo, Mohammad Moosavi, Ahmad |
author_facet | Garavand, Ali Mohseni, Mohammah Asadi, Heshmatollah Etemadi, Manal Moradi-Joo, Mohammad Moosavi, Ahmad |
author_sort | Garavand, Ali |
collection | PubMed |
description | INTRODUCTION: The successful implementation of health information technologies requires investigating the factors affecting the acceptance and use of them. The aim of this study was to determine the most important factors affecting the adoption of health information technologies by doing a systematic review on the factors affecting the acceptance of health information technology. METHODS: This systematic review was conducted by searching the major databases, such as Google Scholar, Emerald, Science Direct, Web of Science, Pubmed, and Scopus. We used various keywords, such as adoption, use, acceptance of IT in medicine, hospitals, and IT theories in health services, and we also searched on the basis of several important technologies, such as Electronic Health Records (HER), Electronic Patient Records (EPR), Electronic Medical Records (EMR), Computerized Physician Order Entry (CPOE), Hospital Information System (HIS), Picture Archiving and Communication System (PACS), and others in the 2004–2014 period. RESULTS: The technology acceptance model (TAM) is the most important model used to identify the factors influencing the adoption of information technologies in the health system; also, the unified theory of acceptance and use of technology (UTAUT) model has had a lot of applications in recent years in the health system. Ease of use, usefulness, social impact, facilitating conditions, attitudes and behavior of users are effective in the adoption of health information technologies. CONCLUSION: By considering various factors, including ease of use, usefulness, and social impact, the rate of the adoption of health information technology can be increased. |
format | Online Article Text |
id | pubmed-5053450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Electronic physician |
record_format | MEDLINE/PubMed |
spelling | pubmed-50534502016-10-18 Factors influencing the adoption of health information technologies: a systematic review Garavand, Ali Mohseni, Mohammah Asadi, Heshmatollah Etemadi, Manal Moradi-Joo, Mohammad Moosavi, Ahmad Electron Physician Systematic Review INTRODUCTION: The successful implementation of health information technologies requires investigating the factors affecting the acceptance and use of them. The aim of this study was to determine the most important factors affecting the adoption of health information technologies by doing a systematic review on the factors affecting the acceptance of health information technology. METHODS: This systematic review was conducted by searching the major databases, such as Google Scholar, Emerald, Science Direct, Web of Science, Pubmed, and Scopus. We used various keywords, such as adoption, use, acceptance of IT in medicine, hospitals, and IT theories in health services, and we also searched on the basis of several important technologies, such as Electronic Health Records (HER), Electronic Patient Records (EPR), Electronic Medical Records (EMR), Computerized Physician Order Entry (CPOE), Hospital Information System (HIS), Picture Archiving and Communication System (PACS), and others in the 2004–2014 period. RESULTS: The technology acceptance model (TAM) is the most important model used to identify the factors influencing the adoption of information technologies in the health system; also, the unified theory of acceptance and use of technology (UTAUT) model has had a lot of applications in recent years in the health system. Ease of use, usefulness, social impact, facilitating conditions, attitudes and behavior of users are effective in the adoption of health information technologies. CONCLUSION: By considering various factors, including ease of use, usefulness, and social impact, the rate of the adoption of health information technology can be increased. Electronic physician 2016-08-25 /pmc/articles/PMC5053450/ /pubmed/27757179 http://dx.doi.org/10.19082/2713 Text en © 2016 The Authors This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Systematic Review Garavand, Ali Mohseni, Mohammah Asadi, Heshmatollah Etemadi, Manal Moradi-Joo, Mohammad Moosavi, Ahmad Factors influencing the adoption of health information technologies: a systematic review |
title | Factors influencing the adoption of health information technologies: a systematic review |
title_full | Factors influencing the adoption of health information technologies: a systematic review |
title_fullStr | Factors influencing the adoption of health information technologies: a systematic review |
title_full_unstemmed | Factors influencing the adoption of health information technologies: a systematic review |
title_short | Factors influencing the adoption of health information technologies: a systematic review |
title_sort | factors influencing the adoption of health information technologies: a systematic review |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053450/ https://www.ncbi.nlm.nih.gov/pubmed/27757179 http://dx.doi.org/10.19082/2713 |
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