Abstract

Process mining has established itself as a highly valuable tool in healthcare and demonstrated its effectiveness in process discovery, compliance verification and workflow optimization across a variety of clinical settings. However, its application in the analysis of telemedicine medical care has not been explored in depth. The present paper introduces the first stage of the research “Improving the patient journey in telemedicine using process mining” which aims to optimize the care process in telemedicine. In this initial stage, the characterization of patients who utilize this model of care in a hospital network in Chile between 2020 and 2023 is conducted. Accordingly, statistical information from the Red de Salud UC-Christus healthcare network is used to determine the most frequent characteristics of patients in socio-demographic, healthinsurance and clinical terms. Profiles of typical patients who have received treatment via telemedicine will then be constructed. The preliminary results presented herein will serve as a basis for selecting the type(s) of patients who are of particular interest to institutional authorities. In the latter stages of the project, information from the electronic clinical records of the selected patient profiles will be used to build event logs and thereby construct patient journeys through process mining.