基于RFID数据的医院运营与资源利用模拟与分析

V. Boginski, I.K. Mun, Yuzhou Wu, K.P. Mason, Chuck Zhang
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引用次数: 23

摘要

建立了医院手术与资源利用的仿真模型。该模型的输入来源于医院资产上的RFID设备每天记录的数据。RFID数据来自佛罗里达州塔拉哈西的首都地区医疗中心。原始数据包含每隔10秒记录一次的关键资源(如静脉注射泵)的位置信息。这些数据可以被处理并用于推断资产利用时间的一般统计分布和表征医院运营的规则。建立ARENA仿真模型是为了研究患者在医院系统中的流动过程,并确定与设备使用相关的潜在延迟来源和位置。对ARENA模型的输出结果进行了分析。主要观察结果是,医院系统在病人负荷低或中等的情况下运行良好,而在病人负荷高的情况下,最显著的延误出现在特定的医院单位(分娩和分娩)。我们还确定了进一步扩展和推广模型的方向,最终目标是降低手术费用和提高患者安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation and Analysis of Hospital Operations and Resource Utilization Using RFID Data
We have constructed a simulation model of operations and resource utilization in a hospital. The inputs for the model have been derived from the data recorded over daily periods by RFID devices attached to hospital assets. The RFID data was obtained from the Capital Regional Medical Center in Tallahassee, FL. The raw data contains the information about the location of critical resources (e.g., IV pumps) recorded at 10-second time intervals. This data can be processed and used for inferring general statistical distributions of assets utilization time and rules characterizing the operations of a hospital. The ARENA simulation model was created to study the process of patient flow through the hospital system and identify potential sources and locations of delays associated with equipment utilization. The output of the ARENA model is analyzed. The primary observation is that the hospital system is functioning well under the scenarios of low or moderate patient load, and the most significant delays under the conditions of high patient load appear in a specific hospital unit (Labor and Delivery). We also identify the directions for further extensions and generalizations of the model with the ultimate goal of lowering operating expenses and improving patient safety.
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