The purpose of this paper is to show how the knowledge of Process Mining techniques can provide a robust premise to build a Discrete Event Simulation (DES) model of a healthcare process. In order to analyze some specific processes of an ophthalmology ward of a large Italian hospital, ProM6 framework was implemented, which supports process mining techniques in form of plug-ins; the plug-ins process data, in form of Event Log, in order to extract information about the process. The DES model based on such information was run via a commercial tool, Simul8, which allows building sophisticated process models. A timely algorithm was then deployed to adapt the ProM6 information to the DES model. Following, a conformance analysis was conducted by comparing the original Event Log, and the Simulation tool data, taking into account the main case-related model attributes (routing probabilities profile, time perspective, and resources perspective). The paper aims at developing the line of inquiry for what concerns the deployment of approaches to set forth the link between Process mining and Simulation modeling.

本文的目的是说明过程挖掘技术的知识如何为构建医疗保健过程的离散事件模拟（DES）模型提供可靠的前提。为了分析意大利一家大型医院眼科病房的某些特定过程，实施了ProM6框架，该框架以插件形式支持过程挖掘技术。插件以事件日志的形式处理数据，以提取有关该过程的信息。基于此类信息的DES模型是通过商业工具Simul8运行的，该工具可以构建复杂的过程模型。然后部署了适时的算法，以使ProM6信息适应DES模型。接下来，通过比较原始事件日志和仿真工具数据进行一致性分析，考虑到与案例相关的主要模型属性（路由概率配置文件，时间透视图和资源透视图）。本文旨在针对那些涉及方法开发的问题展开研究，以建立过程挖掘与仿真建模之间的联系。