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

被引:42
作者
Chae, Young Moon [1 ]
Yoo, Ki Bong [1 ]
Kim, Eun Sook [2 ]
Chae, Hogene [3 ]
机构
[1] Yonsei Univ, Grad Sch Publ Hlth, Dept Hlth Informat, 50 Yonsei Ro, Seoul 120752, South Korea
[2] Hlth Insurance Review Agcy, Seoul, South Korea
[3] Accenture Co, Seoul, South Korea
关键词
Electronic Medical Record; Clinical Decision Support Systems; Knowledge Management; Information Management;
D O I
10.4258/hir.2011.17.3.172
中图分类号
R-058 [];
学科分类号
摘要
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 chisquare 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.
引用
收藏
页码:172 / 177
页数:6
相关论文
共 18 条
[1]   The state of regional health information organizations: Current activities and financing [J].
Adler-Milstein, Julia ;
McAfee, Andrew P. ;
Bates, David W. ;
Jha, Ashish K. .
HEALTH AFFAIRS, 2008, 27 (01) :W60-W69
[2]   Effect of computerized physician order entry and a team intervention on prevention of serious medication errors [J].
Bates, DW ;
Leape, LL ;
Cullen, DJ ;
Laird, N ;
Petersen, LA ;
Teich, JM ;
Burdick, E ;
Hickey, M ;
Kleefield, S ;
Shea, B ;
Vander Vliet, M ;
Seger, DL .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1998, 280 (15) :1311-1316
[3]  
Chae YM, 2005, STATUS COMPUTERIZATI
[4]  
EARL MJ, 2000, BUSINESS STRATEGY RE, V11, P33, DOI DOI 10.1111/1467-8616.00135
[5]   Performance factors of mobile rich media job aids for community health workers [J].
Florez-Arango, Jose F. ;
Iyengar, M. Sriram ;
Dunn, Kim ;
Zhang, Jiajie .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2011, 18 (02) :131-137
[6]  
GIBSON CF, 1974, HARVARD BUS REV, V52, P76
[7]  
Gottschalk P., 2002, Informing Science, V5, P79
[8]  
Kim JE, 2002, 15 SPRING C KOR SOC
[9]   Key Issues of Hospital Information Systems Management [J].
Kwak, Eun Ah ;
Chae, Young Moon ;
Ho, Seung Hee ;
Kim, Kyung Kyu .
HEALTHCARE INFORMATICS RESEARCH, 2007, 13 (01) :9-17
[10]   Physicians' use of electronic medical records: Barriers and solutions [J].
Miller, RH ;
Sim, I .
HEALTH AFFAIRS, 2004, 23 (02) :116-126