Analysis of the patients' treatment process in a hospital in Thailand using fuzzy mining algorithms

Abstract

This article investigates the corresponding relation of the patients who come to receive treatment at a hospital in Thailand. We applied Process Mining process discovery techniques in order to scrutinize and analyze the data which was previously collected in Microsoft Excel format, and later it was converted into a.csv extension file using the ProM 5.2 and the Disco Fluxicon. The main rationale for the study was to visualize and simulate the behavior of patients (at a estate governmental hospital in Bangkok) referring to different ward for versatile treatment processes of their diseases with respect to the number of time (i.e., frequency) they have visited those wards. Based on the results of study, we could better indicate the corresponding relationships between a group of patients (with specific diseases) which are related to each other and as well as a holistic treatment process view of the tasks and activities undertaken to attend to each case (i.e., patient). Accordingly, the findings of the research can significantly help the researchers and hospital administrators to develop and improve the collaboration of personnel in hospitals in a more effective and efficient way leading to enhancement of the performance.