DOI QR코드

DOI QR Code

A Study on the Efficient Flow of Health Examinees

건강검진 수검자의 동선 효율화에 관한 연구

  • Park, Il-Su (Dept. of Health, The Uiduk University) ;
  • Kim, Jin-Soo (The Korea Institute for Health and Social Affairs) ;
  • Kim, Sung-Soo (Dept. of Political Science and International Relations, The Inje University) ;
  • Kim, Eun-Ju (Dept. of Health Policy and Management, The Inje University) ;
  • Choi, Hyun-Sook (Dept. of Health Policy, The Dongnam Inst. of Radiological & Medical Sciences) ;
  • Kang, Sung-Hong (Dept. of Health Policy and Management, The Inje University)
  • Received : 2013.11.27
  • Accepted : 2014.02.20
  • Published : 2014.02.28

Abstract

The purpose of this study is to optimize the patient(examinee) flow in a health examination center via a simulation model and to improve operational efficiency. Two experimentation scenarios were implemented into the simulation model to determine which proposed scenario provides better improvement in terms of the following performance measures: LOS(Length of Stay), staff utilization, and occupancy level. The simulation results demonstrated that there was no significant difference in response results of two scenarios. Although the original motivation of this study was suggest optimal policy for a patient(examinee) flow, the insight into applying simulation in efficiently managing hospital operations is of more value. Simulation approach is a powerful technique that supports efficient decision-making compared to traditional healthcare management approach based on past experience, feelings, and intuition. Therefore, the proposed experimentation model has wide applicability in healthcare systems.

본 연구는 시뮬레이션 모델을 기반으로 일개 건강검진기관의 수검자 동선을 최적화하여 기관 운영의 효율성을 높이 고자 수행되었다. 2가지의 시나리오를 설정하여 시뮬레이션 분석을 수행하셨으며 수검자의 전체 체류 시간, 직원 활용도, 검사실 가동률 지표를 비교하여 시나리오에 따른 수검자 동선 개선의 효과성을 평가하였다. 시뮬레이션 분석 결과, 각 수검자 동선 시나리오에 따른 평가지표들의 결과 값이 큰 차이를 보이지 않았다. 본래 최적의 수검자 동선 안을 제시하는 것이 연구의 목적이었으나, 효율적인 병원 운영 관리를 위한 시뮬레이션의 활용은 방법론으로서 그 의미가 있다. 왜냐하면 과거 경험, 감정, 직관에 의존하는 기존의 보건의료 관리 기법과 달리 시뮬레이션은 효율적인 의사 결정을 지원하는 강력한 기법이기 때문이다. 따라서 본 연구에서 제시한 연구 모델은 보건 의료시스템 상에 다양한 활용이 가능할 것으로 보인다.

Keywords

References

  1. Ji-Young Yeo, Hyoung-Sun Jeong, Determinants of health screening and its effects on health behaviors. Korean Journal of Health Policy & Administration, Vol. 22, No. 1, pp. 49-64, 2012. https://doi.org/10.4332/KJHPA.2012.22.1.049
  2. National Health Insurance Service, 2011 National health screening statistical yearbook. NHIS, 2012.
  3. Youn-Soo Shin, Chong-Yon Park, Sang-Hyuk Jung, Hye-Young Jung, Hye-Young Kang, Comparison of customer satisfaction with health examination programs provided by the Korea National Health Insurance and private healthcare organizations in Korea. Korean Society for Quality in Health Care, Vol. 12, No. 1, pp. 40-51, 2006.
  4. Yeong-Deok Youn, Su-Ra Seo, Hyeon-Cheol Kim, Evaluation of the effectiveness of a general health screening. National Health Insurance Service, 2010.
  5. Jong-Dae Kim, 2013 Guidelines for evaluation of public health centers. National Health Insurance Service, 2013.
  6. M. J. Cote, Understanding patient flow. Decision Line, 2000.
  7. M. Armony, S. Israelit, A. Mandelbaum, Y. Marmor, Y. Tseytlin, G. Yom-tov, Patient flow in hospitals: A data-based queueing-science perspective. Stochastic Systems, 2011.
  8. E. Litvak, M.C. Long, B. Prenney, K.K. Fuda, O. Levtzion-Korach, P. McGlinchey, Improving patient flow and throughput in California Hospitals Operating Room Services. Boston University Program for Management of Variability in Health Care Delivery, Guidance document prepared for the California Healthcare Foundation(CHCF), 2006.
  9. Averill M. Law, Simulation modeling and analysis, fourth edition. McGraw-Hill, 2007.
  10. S. Ahmed, F. Amagoh, Modeling hospital resources with process oriented simulation. Central Asia Business, Vol. 1, No. 1, pp. 5-20, 2008.
  11. C. Anderson, Emergency department patient flow simulation at HealthAlliance. Project proposal, Worcester Polytechnic Institute, 2010.
  12. Z. Zeng, X. Ma, Y. Hu, J. Li, D. Bryant, A simulation study to improve quality of care in the emergency department of a community hospital. Journal of Emergency Nursing, Vol. 38, No. 4, pp. 322-328, 2012. https://doi.org/10.1016/j.jen.2011.03.005
  13. Ji-Hye Lim, Sung-Hong Kang, Won-Joong Kim, Patient management through simulation modeling in the medical center. The journal of Digital Policy & Management, Vol. 10, No. 4, pp. 287-295, 2012.
  14. M.J. Wilson, B. Siegel, M. Williams, Perfecting patient flow; America's safety net hospitals and emergency department crowding. National Association of Public Hospitals and Health Systems, 2005.
  15. Anke K. Hutzschenreuter, Peter A. N. Bosman, Han La Poutre, A computational approach to patient flow logistics in hospitals. ERCIM News, 2010.
  16. Institute for Healthcare Improvement, Optimizing patient flow: Moving patients smoothly through acute care settings. IHI, 2003.
  17. A. Kolker, P. Story, Management engineering for effective healthcare delivery: Principles and Applications. IGI Global, 2012.
  18. R. Sibbel, C. Urban, Agent-based modeling and simulation for hospital management. Cooperative Agents, Vol. 32, pp. 183-202, 2001.
  19. L. Moreno, R.M. Aguilar, C.A. Martin, J.D. Pineiro, J.I. Estevez, J.F. Sigut, J.L. Sanchez, Patient-centered simulation to aid decision-making in hospital management. Simulation, Vol. 74. No. 5, pp. 290-304, 2000. https://doi.org/10.1177/003754970007400504
  20. Young-Woo Lee, Tae-Sik Lee, A comprehensive study on patient flow improvement solutions and their implementation strategies in an outpatient system. IE Interfaces, Vol. 23, No. 1, pp. 1-11, 2010.
  21. A. F. Najmuddin, I. M. Ibrahim, S. R. Ismail, A simulation approach: Improving patient waiting time for multiphase patient flow of obstetrics and gynecology department(O&G Department) in local specialist centre. WSEAS Transactions on Mathematics, Vol. 9, No. 10, pp. 778-790, 2010.
  22. A.K.A., Wijewickrama, Simulation analysis for reducing queues in mixed-patients' outpatient department. International Journal of Simulation Modelling, Vol. 5, No. 2, pp. 56-68, 2006. https://doi.org/10.2507/IJSIMM05(2)2.055
  23. M. MacDonnell, S. Teehan, Discrete event simulation analysis of the hospital bed management problem. EuroMOT, 2006.
  24. J. Helm, S. AhmadBeygi, M. Van Oyen, The flexible patient flow simulation framework. Institute of Industrial Engineers, 2009.
  25. V. Z. Osidach, M. C. Fu, Computer simulation of a mobile examination center. Simulation Conference, Vol. 2, pp. 1868-1875 2003.
  26. W. T. Song, A. E. Bair, A simulation study on the impact of physician starting time in a physical examination service. Simulation Conference, pp. 1553-1563, 2008.

Cited by

  1. Implementation of Hospital Examination Reservation System Using Data Mining Technique vol.21, pp.2, 2015, https://doi.org/10.4258/hir.2015.21.2.95