Monitoring and analyzing patients’ pathways by the application of Process Mining, SPC, and I-RTLS

Abstract : The strive of healthcare organizations for learning how their processes are influencing the quality of their services and mostly the satisfaction level of their patients is encouraging this research work to propose a method which provides comprehensive knowledge in that regard for healthcare experts. This paper aims at suggesting an approach to model the pathways of patients as business processes and to measure the performance level of their executions based on the distance that patients take. In this order, Indoor-Real Time Localization Systems (I-RTLS) has been introduced as the tool to monitor patients’ pathways; Process Mining techniques will enrich the level of information by discovering the process models. Statistical Process Control (SPC) methods will help to measure the performance stability of processes. An outline of the approach is highlighted by a study case which had been designed at a hospital in France. The results show that the proposed approach could provide accurate data and comprehensive knowledge about patients’ pathways and the execution of the processes in hospitals.
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Submitted on : Thursday, November 15, 2018 - 3:59:19 PM
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Sina Namaki Araghi, Franck Fontanili, Elyes Lamine, Ludovic Tancerel, Frederick Benaben. Monitoring and analyzing patients’ pathways by the application of Process Mining, SPC, and I-RTLS. INCOM 2018 - 16th IFAC Symposium on Information Control Problems in Manufacturing, Jun 2018, Bergame, Italy. pp.980-985, ⟨10.1016/j.ifacol.2018.08.480⟩. ⟨hal-01924025⟩

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