The Korean Journal of Health Service Management (보건의료산업학회지)

Korea Society of Health Service Management (보건의료산업학회)
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The Identification of the Characteristics of Cancer Patients Who Defected to Other Medical Institutions

타 의료기관으로 이탈한 암환자의 특성 파악

  • Cha, Jae-Bin (Department of Business Administration, Graduate School, Kyunghee University) ;
  • Nam, Jung-He (Department of Public Health Administration, Kyungmin University) ;
  • Ahn, Sung-Sik (Food service & Agro-Fishery Management, Kyunghee Cyber University)
  • 차재빈 (경희대학교 일반대학원 경영학과) ;
  • 남정혜 (경민대학교 보건행정과) ;
  • 안성식 (경희사이버대학교 외식농산업경영학과)
  • Received : 2012.08.20
  • Accepted : 2013.01.14
  • Published : 2013.03.30
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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.

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References

  1. S.W. Seo, K.H. Kim, Y.K. Pu, J.S. Suh, W.S. Park, S.J. Yoon, Y.S. Lee, M.S. Lee, H.U. Chung(2002), Evaluation of Current Coding Practices in 3 University Hospitals, Quality Improvement in Health Care, Vol.9(1);52-64.
  2. J.H. Hong, K.S. Choi, J.H. Lee, E.M. Lee(2000), A Study on the Factors Related to the Readmission and Ambulatory Visit in an University Hospital: Using Patient Care Information DB, Healthcare Informatics Research, Vol.6(4);23-33. https://doi.org/10.1177/146045820000600105
  3. Y.H. Park(2011), Utilization Patterns of Other Region Inpatients in General Hospitals Located in Seoul Area, The Korean Journal of Health Service Management, Vol.5(3);63-76.
  4. Y.O. Park, M.S. Kim, E.G. Ko, Y.J. Kim, C.H. Hong(1998), QI Activities for Promotion of Patient's Satisfaction, Quality Improvement in Health Care, Vol.5(2);312-323.
  5. O.N. Kim, S.H. Kang(2000), The Strategic Planning of Hospital Management using Information Technology, Journal of Korean Society of Medical Informatics, Vol.5(3);181-190.
  6. G.L. Choi(2001), Characteristics of Patient Clusters by Usage and Revenue Indicators and Applicability to Database Marketing, Department of Public Health, Graduate School, Inje University, pp.1-77.
  7. S.H. Kang, S.H. Choi(2001), The Efficient Ways of Health Promotion Program on Public Health Center Using Data Mining, Journal of Korean Society of Medical Informatics, Vol.7(2);37-48.
  8. H.Y. Lee(2008), e-marketing plus, muyokpub: Publisher, pp.609-643.
  9. Frederick, F. and Sasser, J.R.(1990), Quality Comes to Services, Harvard Business Review, pp.105-111.
  10. H.S. Lee, H.S. Chi, B.R. Kim, K.S. Lee(1988), The Analysis of Emergency Patients, Journal of the Korean Surgical Society, Vol.35(4);371-379.
  11. T.Y. Lee, H.K. Jeong, K.H. Kim(2005), Development of Model for Preventing Informally Discharged Cancer Patients, Journal of The Korean Official Statistics, Vol.10(1);38-61.
  12. J.H. Song(1997), The Measurement Of Post discharge Patient Satisfaction Using Telephone Interview, Quality Improvement in Health Care, Vol.4(1);104-114.
  13. Y.H. Park(2011), Utilization Patterns of National Health Insurance and Medical Aid Inpatients in Tertiary Hospitals, The Korean Journal of Health Service Management, Vol.6(4);83-98. https://doi.org/10.12811/kshsm.2012.6.4.083
  14. W.S. Park, S.W. Seo, K.H. Kim, Y.C. Cho(2001), For the Hospital the Intention of Medical Examination and Treatment Reservation System, Bulletin of the International Statistical Institute, Vol.3;5-6.
  15. M. Yi, E.Y. Park, D.S. Kim, Y.S. Tae, B.Y. Chung, H.S. So(2011), Psychosocial Adjustment of Low-Income Koreans with Cancer, J Korean Acad Nurs, Vol.41(2);225-235. https://doi.org/10.4040/jkan.2011.41.2.225
  16. Greg R., and Ellen J.(1998), Mining your data for health care quality improvement, SAS Institute. Inc., pp.1-7.
  17. Y.M. Kim, S.H. Kang, W.J. Kim(2000), Hospital Database Marketing Using Discharge Summary DB: An Application of Data Mining Technique, Healthcare Informatics Research, Vol.6(2);1-15. https://doi.org/10.1177/146045820000600101

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