Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ, 22451-900, Brazil.
Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ, 22451-900, Brazil.
Obes Surg. 2019 Sep;29(9):2824-2830. doi: 10.1007/s11695-019-03898-1.
Appointment scheduling systems traditionally book patients at fixed intervals, without taking into account the complexity factors of the health system. This paper analyzes several appointment scheduling policies of the literature and proposes the most suitable to a bariatric surgery clinic, considering the following complexity factors: (i) stochastic service times, (ii) patient unpunctuality, (iii) service interruptions, and (iv) patient no-shows.
We conducted the study using data collected in a bariatric surgery clinic located in Rio de Janeiro, Brazil. The dataset presented 1468 appointments from June 29, 2015, to June 29, 2016. We comparatively evaluate the main literature policies through a discrete event simulation (DES).
The proposed policy (IICR) provides a 30% increase in attendance and allows a decrease in the total cost, maintaining the level of service in terms of average waiting time.
IICR was successfully implemented, and the practical results were very close to the simulated ones.
传统的预约调度系统按固定时间间隔为患者预约，而不考虑医疗系统的复杂性因素。本文分析了文献中的几种预约调度策略，并提出了最适合肥胖症手术诊所的策略，同时考虑了以下复杂性因素：（i）随机服务时间，（ii）患者不准时，（iii）服务中断，以及（iv）患者失约。
我们使用巴西里约热内卢一家肥胖症手术诊所收集的数据进行了研究。该数据集包含了 2015 年 6 月 29 日至 2016 年 6 月 29 日期间的 1468 次预约。我们通过离散事件模拟（DES）对主要文献策略进行了比较评估。
所提出的策略（IICR）使就诊率提高了 30%，并降低了总成本，同时保持了平均等待时间方面的服务水平。
IICR 得到了成功实施，实际结果与模拟结果非常接近。
