Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, Camino de Vera S/N, 46022 Valencia, Spain.
Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Int J Environ Res Public Health. 2019 Jan 11;16(2):199. doi: 10.3390/ijerph16020199.
The widespread adoption of real-time location systems is boosting the development of software applications to track persons and assets in hospitals. Among the vast amount of applications, real-time location systems in operating rooms have the advantage of grounding advanced data analysis techniques to improve surgical processes, such as process mining. However, such applications still find entrance barriers in the clinical context. In this paper, we aim to evaluate the preferred features of a process mining-based dashboard deployed in the operating rooms of a hospital equipped with a real-time location system. The dashboard allows to discover and enhance flows of patients based on the location data of patients undergoing an intervention. Analytic hierarchy process was applied to quantify the prioritization of the dashboard features (filtering data, enhancement, node selection, statistics, etc.), distinguishing the priorities that each of the different roles in the operating room service assigned to each feature. The staff in the operating rooms ( = 10) was classified into three groups: Technical, clinical, and managerial staff according to their responsibilities. Results showed different weights for the features in the process mining dashboard for each group, suggesting that a flexible process mining dashboard is needed to boost its potential in the management of clinical interventions in operating rooms. This paper is an extension of a communication presented in the Process-Oriented Data Science for Health Workshop in the Business Process Management Conference 2018.
实时定位系统的广泛采用正在推动人员和资产跟踪软件应用程序在医院中的发展。在大量的应用程序中，手术室中的实时定位系统具有将先进数据分析技术应用于改善手术流程（如流程挖掘）的优势。然而，此类应用程序在临床环境中仍存在进入壁垒。在本文中，我们旨在评估基于流程挖掘的仪表板在配备实时定位系统的医院手术室中的首选功能。该仪表板允许根据接受干预的患者的位置数据发现和增强患者流。层次分析法用于量化仪表板功能（数据过滤、增强、节点选择、统计等）的优先级，区分手术室服务中每个不同角色为每个功能分配的优先级。手术室的工作人员（n=10）根据其职责分为三组：技术人员、临床人员和管理人员。结果表明，对于每个组，流程挖掘仪表板中的功能具有不同的权重，这表明需要一个灵活的流程挖掘仪表板来挖掘其在手术室临床干预管理中的潜力。本文是在 2018 年业务流程管理会议的面向流程的数据科学健康研讨会上提交的交流材料的扩展。
