EVENT DATA VISUALIZATION THROUGH PROCESS MINING:A CASE FOR EMERGENCY MEDICAL SERVICE SYSTEM IN ADANA

Increasing amount of data enables researchers the opportunity of applyingnew scientific methods to manage and visualize the systems and processes.Process mining is an emerging tool for discovering real processes using eventdata of complex systems such as communication, information, health caresystems, transportation and etc. Emergency Medical Service (EMS) system isan integral part of health care systems and aims to respond cases on time inorder to decrease mortality. Although the EMS system process is assumed tobe known, related data may indicate some deviations from the real process.Aim of this study is to discover and visualize EMS system in Adana city, inTurkey. EMS system event logs are filtered and visualized by using plug-insin ProM platform such as Simple Heuristic Filtering plug-in and Logvisualizer, respectively. Other plug-ins such as Fuzzy Miner and InductiveMiner are used for discovering process model. The deviations are obtained inEMS system process model showing irregular or rare events that cannot berepresentable throughout the process. The results indicate that the process oftransportation between hospitals should be investigated in order to improvethe process of Adana EMS system.

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ISSN: 2536-5010
Yayın Aralığı: Yılda 2 Sayı
Yayıncı: INESEG Yayıncılık A.Ş.

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