Alvaro Jr Caicedo-Rolon, G. Guerrero-Gómez, F. Moreno-Gamboa
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The best scenario would reduce the average waiting times for triage II patients by 17.30 % and 47.57 %, and triage III by 33.49 % and 43.49 % for medical consultation in the office or the minor surgery room, respectively. In addition, the waiting time in observation and the rate of patients left without being seen by a physician would be reduced by 92.45 % and 74.67 %, respectively. These results improve the quality and timeliness of the service and avoid putting the patient's health and life at risk. The designed model included more attributes for patients concerning the place of medical care in the emergency room, the number of visits to the physician, and the physician who will care for the patient. Moreover, the simulation model includes observation beds as a limited resource blocking new patient admission. 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引用次数: 0
摘要
急诊室是医疗机构中最复杂、最重要的区域之一,存在过度拥挤、等候时间长、停留时间长等问题,影响了服务的及时性、响应速度和质量。本研究旨在利用分层定时彩色 Petri 网设计一个详细的病人流模型,以提高急诊室的性能。然后,对模型进行仿真,以评估考虑了医生人员规划等战术决策、调整工作日程等运营决策以及增加观察床位等战略决策的方案。在最佳方案下,分流 II 病人在诊室或小手术室就诊的平均等候时间将分别缩短 17.30% 和 47.57%,分流 III 病人的平均等候时间将分别缩短 33.49% 和 43.49%。此外,观察等待时间和未得到医生诊治而离开的病人比率将分别减少 92.45 % 和 74.67 %。这些结果提高了服务的质量和及时性,避免了病人的健康和生命受到威胁。所设计的模型包含了更多的患者属性,涉及急诊室的医疗地点、看医生的次数以及照顾患者的医生。此外,模拟模型还将观察床作为一种有限资源,阻止新病人入院。最后,该模型是支持急诊室管理人员做出短期、中期和长期决策的工具,以解决人满为患、候诊时间长、住院时间长、未得到医生诊治的病人比例高等问题。
Design of a model for improving emergency room performance using a colored Petri net
Emergency rooms are one of the most complex and vital areas of healthcare institutions, which have presented overcrowding, long waiting, and length of stay times, affecting the timeliness, responsiveness, and quality of service. This research aimed to design a detailed patient flow model to improve emergency room performance using the hierarchical timed colored Petri nets. Then, the model was simulated to evaluate scenarios considering tactical decisions such as physician staff planning, operational decisions such as adjusting work schedules, and strategic decisions such as increasing observation beds. The best scenario would reduce the average waiting times for triage II patients by 17.30 % and 47.57 %, and triage III by 33.49 % and 43.49 % for medical consultation in the office or the minor surgery room, respectively. In addition, the waiting time in observation and the rate of patients left without being seen by a physician would be reduced by 92.45 % and 74.67 %, respectively. These results improve the quality and timeliness of the service and avoid putting the patient's health and life at risk. The designed model included more attributes for patients concerning the place of medical care in the emergency room, the number of visits to the physician, and the physician who will care for the patient. Moreover, the simulation model includes observation beds as a limited resource blocking new patient admission. Finally, this model is a tool to support emergency room managers in making short, medium, and long-term decisions to address problems such as overcrowding, long waiting and length of stay times, and high rates of patients left without being seen by a physician