Cargando…
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....
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782216016297721856 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3212744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Korean Society of Medical Informatics |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chaeyoungmoon theadoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea AT yookibong theadoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea AT kimeunsook theadoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea AT chaehogene theadoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea AT chaeyoungmoon adoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea AT yookibong adoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea AT kimeunsook adoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea AT chaehogene adoptionofelectronicmedicalrecordsanddecisionsupportsystemsinkorea |