IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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A Comprehensive Study on Patient Flow Improvement Solutions and Their Implementation Strategies in an Outpatient System

대형 병원 외래 시스템의 환자 흐름 개선방안의 적용 전략에 관한 연구

  • Lee, Young-Woo (Department of Industrial and System Engineering, KAIST) ;
  • Lee, Tae-Sik (Department of Industrial and System Engineering, KAIST)
  • 이영우 (KAIST 산업 및 시스템 공학과) ;
  • 이태식 (KAIST 산업 및 시스템 공학과)
  • Received : 2010.10.16
  • Accepted : 2010.12.04
  • Published : 2010.03.01
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Abstract

There are various ways to manage the patient flow of the hospital outpatient system. However, it is difficult to apply many implementation solutions to the real outpatient system at once. Because first, the expected effects of each different solution are very much depend on the real situation of the system and applied other solutions, and second, owing to the limited resources, each solution should be implemented according to the priority. In order to overcome these difficulties, this paper focuses on proposing the comprehensive subset of implementation solutions, which is one of the most effective among various kinds of subsets, and verifying the effects of it. The comprehensive subset of solutions is derived from conducting design of experiments and simulation which determine the optimum set of different solutions and analyze the particular interactions and priority order among them. This implementation strategy can solve the difficulties of applying different kinds of various solutions to the hospital outpatient system.

Keywords

References

  1. Alessandra, A. J. and Grazman, T. E. (1978), Using simulation in hospital planning, Simulation, 30(2), 62-67. https://doi.org/10.1177/003754977803000206
  2. Andriole, K. P., Luth, D. M., and Gould, R. G. (2002), Workflow assessment of digital versus computed radiography and screen-film in the outpatient environment, Journal of Digital Imaging, 15(1), 124-126. https://doi.org/10.1007/s10278-002-5079-9
  3. Angelis, V. D., Felici, G., and Impelluso, P. (2003), Integrating simulation and optimization in health care centre management, European Journal of perational Research, 150 (1), 101-114. https://doi.org/10.1016/S0377-2217(02)00791-9
  4. Bae, D-S., Lee, N-Y., Kwon, H-M., Jang, J-S., Cha, M-S., Yoon, W-Y., Kim, M-S., and Lee, M-G. (2004), Statistics：theory and application, Chungmoongak.
  5. Cote, M. J. (1999), Patient flow and resource utilization in an outpatient clinic, Socio-Economic Planning Sciences, 33, 231-245. https://doi.org/10.1016/S0038-0121(99)00007-5
  6. Dexter, F. (1999), Design of appointment systems for Preanesthesia evaluation clinics to minimize patient waiting times：A review of computer simulation and patient survey studies, Anesthesia and Analgesia, 89, 925-931.
  7. Downer, S. R., Meara, J. G., and Da Costa, A. C. (2005), Use of SMS text messaging to improve outpatient attendance, Medical Journal of Australia, 183, 366-368.
  8. Draeger, M. A. (1992), An emergency department model used to evaluate alternative nurse staffing and patient population scenarios, In Proceedings of the Winter Simulation Conference, 1057-1064.
  9. Fetter, R. B. and Thompson, J. D. (1965), The simulation of hospital system, Operation Research, 13(5). 689-711. https://doi.org/10.1287/opre.13.5.689
  10. Garcia, M. L., Centeno, M. A., Riveram, C., and DeCario, N. (1995), Reducing time in an emergency room via a fast-track, In the Proceedings of the Winter Simulation Conference, 1048-1053.
  11. Guo, M., Wagner, M., and West, C. (2004), Outpatient clinic scheduling：A simulation approach, In Proceedings of the Winter Simulation Conference, 1981-1987.
  12. Haraden C., Nolanm T., Resar R. and Litvak E. (2003), Optimizing patient flow-Moving patients smoothly through acute care setting, Institute for Healthcare Improvement Innovation Series 2003, White papers 2, Cambridge, MA.
  13. Hashimoto, F. and Bell, S. (1996), Improving outpatient clinic staffing and scheduling with computer simulation, Journal of general internal medicine, 11(3), 182-184. https://doi.org/10.1007/BF02600274
  14. Kirtland, A., Lockwood, J., Poisker, K., Stamp, L., and Wolfem, P. (1995), Simulating an emergency department 'Is as much fun as …', In the Proceedings of the Winter Simulation Conference, 1039-1042.
  15. Klassen, K. J. and Rohleder, T. R. (1996), Scheduling outpatient appointment in a dynamic environment, Journal of Operations Management, 14 (2), 83-101. https://doi.org/10.1016/0272-6963(95)00044-5
  16. McManus, M. L., Long, M. C., Cooper, A., Mandell, J., Berwick, D. M., Pagano, M., and Litvak, E. (2003), Variability in surgical caseload and access to intensive care services, American Society of Anesthesiologists, 92(6), 1491-1496.
  17. Montgomery, D. C. (2005), Design and analysis of experiments：sixth edition, John Wiley and Sons, Inc.
  18. Reti, S. (2003), Improving outpatient department efficiency：A randomized controlled trial comparing hospital and general-practice telephone reminders, Journal of the New Zealand Medical Association, 116, 1175.
  19. Siegel, E. and Reiner, B. (2002), Work flow redesign：The key to success when using PACS, American Journal of Roentgenology, 178, 563- 566. https://doi.org/10.2214/ajr.178.3.1780563
  20. Smith, E. A. and Warner, H. R. (1971), Simulation of a multi phasic screening procedure for hospital admissions, Simulation, 17(2), 57-64. https://doi.org/10.1177/003754977101700202
  21. Warner, M. (2006), Personnel staffing and scheduling, In R. W. Hall, editor, patient flow：Reducing Delay in Healthcare Delivery, chapter 7, 189-209, Springer.
  22. Yeom, J-K. and Kang, C-Y., (2007), The Critical Factors on Improvement of Medical institution Competitiveness, Korean Journal of Hospital Management, 12(1), 1-30.