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Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure

OBJECTIVES: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. METHODS: Both survey and various healthcare administrative datasets in Korea were used. The surv...

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Autores principales: Lee, Youn-Tae, Park, Young-Taek, Park, Jae-Sung, Yi, Byoung-Kee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230536/
https://www.ncbi.nlm.nih.gov/pubmed/30443421
http://dx.doi.org/10.4258/hir.2018.24.4.327
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author Lee, Youn-Tae
Park, Young-Taek
Park, Jae-Sung
Yi, Byoung-Kee
author_facet Lee, Youn-Tae
Park, Young-Taek
Park, Jae-Sung
Yi, Byoung-Kee
author_sort Lee, Youn-Tae
collection PubMed
description OBJECTIVES: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. METHODS: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. RESULTS: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003–1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150–1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317–4.135; p = 0.004). CONCLUSIONS: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.
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spelling pubmed-62305362018-11-15 Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure Lee, Youn-Tae Park, Young-Taek Park, Jae-Sung Yi, Byoung-Kee Healthc Inform Res Original Article OBJECTIVES: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. METHODS: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. RESULTS: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003–1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150–1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317–4.135; p = 0.004). CONCLUSIONS: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry. Korean Society of Medical Informatics 2018-10 2018-10-31 /pmc/articles/PMC6230536/ /pubmed/30443421 http://dx.doi.org/10.4258/hir.2018.24.4.327 Text en © 2018 The Korean Society of Medical Informatics 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 Article
Lee, Youn-Tae
Park, Young-Taek
Park, Jae-Sung
Yi, Byoung-Kee
Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure
title Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure
title_full Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure
title_fullStr Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure
title_full_unstemmed Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure
title_short Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure
title_sort association between electronic medical record system adoption and healthcare information technology infrastructure
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230536/
https://www.ncbi.nlm.nih.gov/pubmed/30443421
http://dx.doi.org/10.4258/hir.2018.24.4.327
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