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데이터마이닝을 이용한 의료의 질 측정지표 분석 및 의사결정지원시스템 개발

Authors
 김혜숙 ; 채영문 ; 호승희 ; 박현주 ; 탁관철 
Citation
 Quality Improvement in Health Care (한국의료QA학회지), Vol.8(2) : 186~207, 2001 
Journal Title
 Quality Improvement in Health Care (한국의료QA학회지) 
ISSN
 1225-7613 
Issue Date
2001
Abstract
Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/142183
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Plastic Surgery & Reconstructive Surgery
Yonsei Authors
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