Heart Cycle: Facilitating the deployment of advanced care processes

Abstract

Current trends in health management improvement demand the standardization of care protocols to achieve better quality and efficiency. The use of Clinical Pathways is an emerging solution for that problem. However, current Clinical Pathways are big manuals written in natural language and highly affected by human subjectivity. These problems make their deployment and dissemination extremely difficult in real practice environments. Furthermore, the intrinsic difficulties for the design of formal Clinical Pathways requires new specific design tools to help making them relly useful and cost-effective. Process Mining techniques can help to automatically infer processes definition from execution samples and, thus, support the automatization of the standardization and continuous control of healthcare processes. This way, they can become a relevant helping tool for clinical experts and healthcare systems for reducing variability in clinical practice and better understand the performance of the system.

Process mining applications in the healthcare domain: A comprehensive review

“…Locations are determined by means of wireless technologies as radio frequency identification (RFID) tags, integrated in patient identification bands or staff cards, and antennas which are deployed in the hospital's departments. RTLS data have been used for PM to collect patients' movements (Araghi et al, 2019(Araghi et al, , 2020Araghi, Fontaili, et al, 2018;Araghi, Fontanili, et al, 2018;Fern andez-Llatas et al, 2013;Martinez-Millana et al, 2019), to mine the workflow of medical equipments (Liu et al, 2014), to study a surgical process (Fernandez-Llatas et al, 2015), and to enhance event logs extracted from a HIS (Fernandez-Llatas et al, 2021;Martin, 2018).…”

“…Xu, Pang, Yang, Jinghui, et al, 2020;Hendricks, 2019;Huang et al, 2012Huang et al, , 2013Jaroenphol et al, 2015;Kim et al, 2013;Kirchner & Markovi c, 2018;Kukreja & Batra, 2017;Leonardi et al, 2019;R. Mans, Reijers, et al, 2012;Meneu et al, 2013;Mertens et al, 2018;Miclo et al, 2015;Montani et al, 2013;Naeem et al, 2017;Neumuth et al, 2011Neumuth et al, , 2012Perimal-Lewis et al, 2014;Placidi et al, 2021;Poelmans et al, 2010;Prodel et al, 2015; domain expert in terms of the accuracy of the matching rate. In (Fern andez-Llatas et al, 2010;Meneu et al, 2013), PALIA was used for the discovery of patients pathways in the field of cardiology, and home hospitalization, respectively.…”

“…Mans, Reijers, et al, 2012;Meneu et al, 2013;Mertens et al, 2018;Miclo et al, 2015;Montani et al, 2013;Naeem et al, 2017;Neumuth et al, 2011Neumuth et al, , 2012Perimal-Lewis et al, 2014;Placidi et al, 2021;Poelmans et al, 2010;Prodel et al, 2015; domain expert in terms of the accuracy of the matching rate. In (Fern andez-Llatas et al, 2010;Meneu et al, 2013), PALIA was used for the discovery of patients pathways in the field of cardiology, and home hospitalization, respectively. Montani et al (2013) proposed a heuristic miner-based framework with the aim of analyzing the quality of stroke management processes, in order to verify whether different patient categories are differently treated, and whether hospitals of different levels actually implement different processes.…”