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The Adoption of Electronic Medical Records and Decision Support Systems in Korea

OBJECTIVES: To examine the current status of hospital information systems (HIS), analyze the effects of Electronic Medical Records (EMR) and Clinical Decision Support Systems (CDSS) have upon hospital performance, and examine how management issues change over time according to various growth stages....

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Autores principales: Chae, Young Moon, Yoo, Ki Bong, Kim, Eun Sook, Chae, Hogene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3212744/
https://www.ncbi.nlm.nih.gov/pubmed/22084812
http://dx.doi.org/10.4258/hir.2011.17.3.172
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author Chae, Young Moon
Yoo, Ki Bong
Kim, Eun Sook
Chae, Hogene
author_facet Chae, Young Moon
Yoo, Ki Bong
Kim, Eun Sook
Chae, Hogene
author_sort Chae, Young Moon
collection PubMed
description OBJECTIVES: To examine the current status of hospital information systems (HIS), analyze the effects of Electronic Medical Records (EMR) and Clinical Decision Support Systems (CDSS) have upon hospital performance, and examine how management issues change over time according to various growth stages. METHODS: Data taken from the 2010 survey on the HIS status and management issues for 44 tertiary hospitals and 2009 survey on hospital performance appraisal were used. A chi-square test was used to analyze the association between the EMR and CDSS characteristics. A t-test was used to analyze the effects of EMR and CDSS on hospital performance. RESULTS: Hospital size and top management support were significantly associated with the adoption of EMR. Unlike the EMR results, however, only the standardization characteristic was significantly associated with CDSS adoption. Both EMR and CDSS were associated with the improvement of hospital performance. The EMR adoption rates and outsourcing consistently increased as the growth stage increased. The CDSS, Knowledge Management System, standardization, and user training adoption rates for Stage 3 hospitals were higher than those found for Stage 2 hospitals. CONCLUSIONS: Both EMR and CDSS influenced the improvement of hospital performance. As hospitals advanced to Stage 3, i.e. have more experience with information systems, they adopted EMRs and realized the importance of each management issue.
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spelling pubmed-32127442011-11-16 The Adoption of Electronic Medical Records and Decision Support Systems in Korea Chae, Young Moon Yoo, Ki Bong Kim, Eun Sook Chae, Hogene Healthc Inform Res Original Article OBJECTIVES: To examine the current status of hospital information systems (HIS), analyze the effects of Electronic Medical Records (EMR) and Clinical Decision Support Systems (CDSS) have upon hospital performance, and examine how management issues change over time according to various growth stages. METHODS: Data taken from the 2010 survey on the HIS status and management issues for 44 tertiary hospitals and 2009 survey on hospital performance appraisal were used. A chi-square test was used to analyze the association between the EMR and CDSS characteristics. A t-test was used to analyze the effects of EMR and CDSS on hospital performance. RESULTS: Hospital size and top management support were significantly associated with the adoption of EMR. Unlike the EMR results, however, only the standardization characteristic was significantly associated with CDSS adoption. Both EMR and CDSS were associated with the improvement of hospital performance. The EMR adoption rates and outsourcing consistently increased as the growth stage increased. The CDSS, Knowledge Management System, standardization, and user training adoption rates for Stage 3 hospitals were higher than those found for Stage 2 hospitals. CONCLUSIONS: Both EMR and CDSS influenced the improvement of hospital performance. As hospitals advanced to Stage 3, i.e. have more experience with information systems, they adopted EMRs and realized the importance of each management issue. Korean Society of Medical Informatics 2011-09 2011-09-30 /pmc/articles/PMC3212744/ /pubmed/22084812 http://dx.doi.org/10.4258/hir.2011.17.3.172 Text en © 2011 The Korean Society of Medical Informatics http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Chae, Young Moon
Yoo, Ki Bong
Kim, Eun Sook
Chae, Hogene
The Adoption of Electronic Medical Records and Decision Support Systems in Korea
title The Adoption of Electronic Medical Records and Decision Support Systems in Korea
title_full The Adoption of Electronic Medical Records and Decision Support Systems in Korea
title_fullStr The Adoption of Electronic Medical Records and Decision Support Systems in Korea
title_full_unstemmed The Adoption of Electronic Medical Records and Decision Support Systems in Korea
title_short The Adoption of Electronic Medical Records and Decision Support Systems in Korea
title_sort adoption of electronic medical records and decision support systems in korea
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3212744/
https://www.ncbi.nlm.nih.gov/pubmed/22084812
http://dx.doi.org/10.4258/hir.2011.17.3.172
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