타 의료기관으로 이탈한 암환자의 특성 파악
The Identification of the Characteristics of Cancer Patients Who Defected to Other Medical Institutions
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This study intends to identify the characteristics of cancer in-patients and those of cancer patients who defected to other medical institutions based on the summary of hospital discharge information of a university hospital for the purpose of improving work efficiency and maximizing the number of patients. The study used data on cancer patients registered in the database of C University Hospital in Gyeonggi Province for a period of one year between January 1 and December 31. The analysis results suggest that the commonalities of the cancer patients who defected to other medical institutions include no specific job, old age, and hospitalization through emergency room. In conclusion, hospitals need to identify the characteristics of cancer patients classified as patients who are prone to defect and the defection factors through this prediction model.
Abstract
This study intends to identify the characteristics of cancer in-patients and those of cancer patients who defected to other medical institutions based on the summary of hospital discharge information of a university hospital for the purpose of improving work efficiency and maximizing the number of patients. The study used data on cancer patients registered in the database of C University Hospital in Gyeonggi Province for a period of one year between January 1 and December 31. The analysis results suggest that the commonalities of the cancer patients who defected to other medical institutions include no specific job, old age, and hospitalization through emergency room. In conclusion, hospitals need to identify the characteristics of cancer patients classified as patients who are prone to defect and the defection factors through this prediction model.
참고문헌 (17)
- S.W. Seo, "Evaluation of Current Coding Practices in 3 University Hospitals", Quality Improvement in Health Care, 9(1), pp.52~64 (2002)
- J.H. Hong, "A Study on the Factors Related to the Readmission and Ambulatory Visit in an University Hospital: Using Patient Care Information DB", Healthcare Informatics Research, 6(4), pp.23~33 (2000)
- 박영희, "타 지역 환자의 서울지역 종합병원 입원이용에 관한 연구", 보건의료산업학회지, 5(3), pp.63~76 (2011), 보건의료산업학회
- Y.O. Park, "QI Activities for Promotion of Patient´s Satisfaction", Quality Improvement in Health Care, 5(2), pp.312~323 (1998)
- O.N. Kim, "The Strategic Planning of Hospital Management using Information Technology", Journal of Korean Society of Medical Informatics, 5(3), pp.181~190 (2000)
- G.L. Choi, "Characteristics of Patient Clusters by Usage and Revenue Indicators and Applicability to Database Marketing", Department of Public Health, pp.2001
- S.H. Kang, "The Efficient Ways of Health Promotion Program on Public Health Center Using Data Mining", Journal of Korean Society of Medical Informatics, 7(2), pp.37~48 (2001)
- H.Y. Lee, "e-marketing plus", pp.609~643 (2008), muyokpub
- Frederick, F, "Quality Comes to Services", Harvard Business Review, pp.105~111 (1990)
- H.S. Lee, "The Analysis of Emergency Patients", Journal of the Korean Surgical Society, 35(4), pp.371~379 (1988)
- 이태용, "데이터마이닝을 이용한 암환자 이탈방지 모형 개발", 통계연구, 10(1), pp.3~3 (2005), 통계청
- J.H. Song, "The Measurement Of Post discharge Patient Satisfaction Using Telephone Interview", Quality Improvement in Health Care, 4(1), pp.104~114 (1997)
- 박영희, "건강보험환자와 의료급여환자의 상급종합병원 입원이용 비교", 보건의료산업학회지, 6(4), pp.83~98 (2012), 보건의료산업학회
- W.S. Park, "For the Hospital the Intention of Medical Examination and Treatment Reservation System", Bulletin of the International Statistical Institute, 3, pp.5~6 (2001)
- 이명선, "저소득층 암환자들의 심리사회적 적응 과정", Journal of Korean Academy of Nursing, 41(2), pp.225~235 (2011), 한국간호과학회
- Greg R., "Mining your data for health care quality improvement", pp.1~7 (1998), SAS Institute. Inc.
- Y.M. Kim, "Hospital Database Marketing Using Discharge Summary DB: An Application of Data Mining Technique", Healthcare Informatics Research, 6(2), pp.1~15 (2000)