Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN 55905, USA.
Health Care Manag Sci. 2011 Jun;14(2):135-45. doi: 10.1007/s10729-010-9145-4. Epub 2010 Dec 9.
We report on the use of discrete event simulation modeling to support process improvements at an orthopedic outpatient clinic. The clinic was effective in treating patients, but waiting time and congestion in the clinic created patient dissatisfaction and staff morale issues. The modeling helped to identify improvement alternatives including optimized staffing levels, better patient scheduling, and an emphasis on staff arriving promptly. Quantitative results from the modeling provided motivation to implement the improvements. Statistical analysis of data taken before and after the implementation indicate that waiting time measures were significantly improved and overall patient time in the clinic was reduced.
我们报告了使用离散事件仿真建模来支持骨科门诊流程改进。该诊所治疗患者的效率很高,但候诊时间长和诊所拥堵导致患者不满和员工士气问题。建模有助于确定改进方案,包括优化人员配置水平、更好的患者预约安排以及强调员工准时到达。建模的定量结果为实施改进提供了动力。在实施前后收集的数据的统计分析表明,候诊时间得到了显著改善,患者在诊所的总时间也有所减少。