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Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services

INTRODUCTION: Outsourcing of health information technology services (OHITS) is an important process for healthcare organizations due to the lack of expert staff to respond rapid advance in IT and the security of patient’s information. This study aimed at presenting a model to evaluate factors affect...

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Autores principales: Shirdeli, Mohammad, Zare, Sahar, Kharazmi, Erfan, Rezaee, Rita, Maher, Mohammad Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Medical sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195404/
https://www.ncbi.nlm.nih.gov/pubmed/30515011
http://dx.doi.org/10.5455/aim.2018.26.190-194
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author Shirdeli, Mohammad
Zare, Sahar
Kharazmi, Erfan
Rezaee, Rita
Maher, Mohammad Hadi
author_facet Shirdeli, Mohammad
Zare, Sahar
Kharazmi, Erfan
Rezaee, Rita
Maher, Mohammad Hadi
author_sort Shirdeli, Mohammad
collection PubMed
description INTRODUCTION: Outsourcing of health information technology services (OHITS) is an important process for healthcare organizations due to the lack of expert staff to respond rapid advance in IT and the security of patient’s information. This study aimed at presenting a model to evaluate factors affecting OHITS. METHOD: This is a descriptive-analytic study, conducted in 2017. Participants were experts of IT and accounting field. This research was performed in four general steps: identifying the factors affecting OHITS through literature review; determining suitable indicators by Delphi technique; prioritizing the factors using Analytical Hierarchical Process (AHP), measuring the accuracy of research hypotheses by Partial Least Square (PLS) and calculating the Goodness Of Fit (GOF) criteria for the model. FINDINGS: the most and the least important factors affecting OHITS were “motivation” and “selection of a provider” respectively. GOF criteria was 0.697, suggesting powerful model fitting. CONCLUSION: Using the model presented in this research, the healthcare managers and chief officers of IT will be able to decide consciously about outsourcing projects, and also manage the project better.
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spelling pubmed-61954042018-12-04 Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services Shirdeli, Mohammad Zare, Sahar Kharazmi, Erfan Rezaee, Rita Maher, Mohammad Hadi Acta Inform Med Original Paper INTRODUCTION: Outsourcing of health information technology services (OHITS) is an important process for healthcare organizations due to the lack of expert staff to respond rapid advance in IT and the security of patient’s information. This study aimed at presenting a model to evaluate factors affecting OHITS. METHOD: This is a descriptive-analytic study, conducted in 2017. Participants were experts of IT and accounting field. This research was performed in four general steps: identifying the factors affecting OHITS through literature review; determining suitable indicators by Delphi technique; prioritizing the factors using Analytical Hierarchical Process (AHP), measuring the accuracy of research hypotheses by Partial Least Square (PLS) and calculating the Goodness Of Fit (GOF) criteria for the model. FINDINGS: the most and the least important factors affecting OHITS were “motivation” and “selection of a provider” respectively. GOF criteria was 0.697, suggesting powerful model fitting. CONCLUSION: Using the model presented in this research, the healthcare managers and chief officers of IT will be able to decide consciously about outsourcing projects, and also manage the project better. Academy of Medical sciences 2018-10 /pmc/articles/PMC6195404/ /pubmed/30515011 http://dx.doi.org/10.5455/aim.2018.26.190-194 Text en © 2018 Mohammad Shirdeli, Sahar Zare, Erfan Kharazmi, Rita Rezaee, Mohammad Hadi Maher http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Shirdeli, Mohammad
Zare, Sahar
Kharazmi, Erfan
Rezaee, Rita
Maher, Mohammad Hadi
Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services
title Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services
title_full Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services
title_fullStr Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services
title_full_unstemmed Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services
title_short Presenting a Model to Evaluate Factors Affecting Outsourcing of Health Information Technology Services
title_sort presenting a model to evaluate factors affecting outsourcing of health information technology services
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195404/
https://www.ncbi.nlm.nih.gov/pubmed/30515011
http://dx.doi.org/10.5455/aim.2018.26.190-194
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