DOI QR코드

DOI QR Code

융복합 재원일수 벤치마킹 시스템 개발

The Development of Convergence Bench-making system on length of stay

  • Choi, Youn-Hee (Dept. of Medical Administration, The Dong-Eui Institute of Technology) ;
  • Kim, Yun-Jin (Dept. of Family medicine, Pusan National University Hospital) ;
  • Kang, Sung-Hong (Dept. of Health Policy and Management, Inje University)
  • 투고 : 2015.03.11
  • 심사 : 2015.05.20
  • 발행 : 2015.05.28

초록

본 연구는 의료기관이 자체적으로 재원일수관리 활동을 하도록 유도하기 위해 타 의료기관과 재원일수 관리 수준을 비교하여 의료기관의 재원일수 수준을 평가하고 재원일수관리의 효율성을 제공할 수 있는 재원일수 벤치마킹 시스템을 개발 방안을 제시하고자 하였다. 퇴원손상심층조사 자료를 기반으로 개발된 재원일수 중증도 모형을 이용한 융복합의 재원일수 벤치마킹 웹 프로그램은 병상 규모별, 지역별 비교되도록 구현되었고, 엑셀 파일 다운로드와 함께 리포트기능도 추가되었다. 또 실시간 중증도 보정 재원일수 산출 기능도 구현되었다. 시범운영 결과, 병원 운영진 또는 해당 임상 과로부터 질환별, 지역별 비교통계를 요청받으므로, 재원일수 벤치마킹 시스템이 장기재원관리, 질환별 재원관리 등 재원일수 관리에 효율적인 시스템인 것이 확인되었다. 이에 재원일수 벤치마킹 시스템 웹 활용을 위해서는 중증도 보정 질환의 확대와 국가 차원의 정책 추진 방안이 필요하다.

This study aims to develop a LOS(Length of Stay) bench-making system that can provide efficient by comparing the LOS management of other hospital and level evaluation for inducing the LOS to manage their own activities. The convergence LOS bench-making web program has been implemented to compare a variety of beds, regional group, followed reporting with excel files downloads by using the severity-adjusted LOS model of Korean National Hospital Discharge in-depth Injury Survey data. Features that are computed in real-time severity-adjusted LOS was also implemented. Trial operating results, bench-making system was confirmed efficient for management of LOS on the long-term care and group of disease in hospital from the staff or medical department, receive requests comparative statistics by area and disease group. Therefore the policy alternative on extension of severity-adjusted LOS is needed to utilized bench-making system on LOS.

키워드

참고문헌

  1. Korea Institute for Health and Social Affairs OECD Health Data 2014, 2014.
  2. Ministry of Health & Welfare, Easy summary of DRG, 2012.
  3. Anti-Corruption & Civil Rights Commission, Development of reward system for medical carer in health care insurance, 2009.
  4. Korea Centers for Disease Control & Prevention, A Trial Application of Severity-Adjusted Statistics Program for Korean National Discharge Injury Survey Sample Hospital, 2013.
  5. Y. J. Lee, Problems of National medical expenses management in Korea, Journal of Korea Contents Association, Vol. 11, No 4, pp. 263-272, 2010. https://doi.org/10.5392/JKCA.2011.11.4.263
  6. Hyun-Ju Park, Evaluation of appropriateness for hospital admission and continued stay, Graduate School of Public Health Yonsei University. 2000.
  7. OECD, health at glance 2010 : Asia/Pacific. 2011.
  8. Eun-Cheol Park, DRG current states and Task. Medical Policy Forum Vol. 11, No 2, 2013.
  9. Health Insurance Review & Asessment Service, Guide of Automobile Insurance Reimbursement Methodologies, 2013.
  10. Kominski G and Witsberger C, Trends in LOS for Medicare patients : 1979-1987, Health Care Financing Review, Vol. 15, No2, pp. 121-135, 1993.
  11. S. J. Choi, Variation in hospital length of stay according to the DRG-based prospective payment system in the voluntarily participating providers : Korean Journal of Health Policy & Administration, Vol. 20, No2, pp. 17-39, 2010. https://doi.org/10.4332/KJHPA.2010.20.2.0167
  12. JCI Facilitation center, Quality improvement of global healthcare, Korea Medical Book Publisher 2010.
  13. Hanning, Brian W. T, Length of Stay Benchmarking in the Australian Private Hospital Sector, Australian Health Review, 2007.
  14. Sanigest Internacional Benchmarking Hospital Performance in Health, 2010.
  15. dr foster intelligence. Real Time Monitoring (RTM) Enabling providers and commissioners to benchmark and monitor clinical outcomes, 2013.
  16. World Health Organization, World Health Organization 2013, 2013
  17. Korea Centers for Disease Control & Prevention, Development of severity-adjustment statistical models to evaluate medical quality using Korean National Hospital Discharge Injury Survey Data, 2012.
  18. S. O. Hong, Y. T. Kim, Y. H. Choi, J. H. Park, S. H. Kang, Development of severity-adjusted length of stay in knee replacement surgery, The Journal of Digital Policy & Management, Vol. 13, No. 2, pp. 215-225, 2015.
  19. S. H. Kang, H. S. Seok, W. J. Kim, The Variation of Factors of severity-adjusted length of stay(LOS) in acute stroke patients, The Journal of Digital Policy & Management, Vol. 11, No. 6, pp. 221-233, 2013.
  20. Iek-Hwan kim, kyu-hwan jeon, all of software project, pegasus, 2008.
  21. Han-Soo Lee, expert of web service programing, hanbit media. 2002.
  22. Ine Borghans, Richard Heijink, Tijn Kool, Ronald J Lagoe and Gert P Westert, Benchmarking and reducing length of stay in Dutch hospitals, BMC Health Services Research Vol. 8, pp. 220, 2008. https://doi.org/10.1186/1472-6963-8-220