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Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems

Authors :
Young-Taek Park
Yeon Sook Kim
Byoung-Kee Yi
Sang Mi Kim
Source :
Healthcare Informatics Research, Vol 25, Iss 2, Pp 115-123 (2019)
Publication Year :
2019
Publisher :
The Korean Society of Medical Informatics, 2019.

Abstract

ObjectivesThe objective of this study was to investigate the clinical decision support (CDS) functions and digitalization of clinical documents of Electronic Medical Record (EMR) systems in Korea. This exploratory study was conducted focusing on current status of EMR systems.MethodsThis study used a nationwide survey on EMR systems conducted from July 25, 2018 to September 30, 2018 in Korea. The unit of analysis was hospitals. Respondents of the survey were mainly medical recorders or staff members in departments of health insurance claims or information technology. This study analyzed data acquired from 132 hospitals that participated in the survey.ResultsThis study found that approximately 80% of clinical documents were digitalized in both general and small hospitals. The percentages of general and small hospitals with 100% paperless medical charts were 33.7% and 38.2%, respectively. The EMR systems of general hospitals are more likely to have CDS functions of warnings regarding drug dosage, reminders of clinical schedules, and clinical guidelines compared to those of small hospitals; this difference was statistically significant. For the lists of digitalized clinical documents, almost 93% of EMR systems in general hospitals have the inpatient progress note, operation records, and discharge summary notes digitalized.ConclusionsEMRs are becoming increasingly important. This study found that the functions and digital documentation of EMR systems still have a large gap, which should be improved and made more sophisticated. We hope that the results of this study will contribute to the development of more sophisticated EMR systems.

Details

Language :
English
ISSN :
20933681 and 2093369X
Volume :
25
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Healthcare Informatics Research
Publication Type :
Academic Journal
Accession number :
edsdoj.773e0a23c1324d3db5f5337212fb8286
Document Type :
article
Full Text :
https://doi.org/10.4258/hir.2019.25.2.115