Date of Publication :29th April 2023

Abstract: Process mining is a promising domain of data analytics. With an increasing orientation of businesses towards the Information Technology systems, process mining is creating strong roots for itself in process management. This paper has done a systematic analysis of various opportunities and perspectives offered by process mining. Also, the different stages, tools and techniques of process mining have been clarified. Apart from this, the paper discussed the positioning of process mining, data mining and business process management in data science. Though these concepts of data science are not new, how they are related to each other as well as how they differ from each other has been explained. To incorporate the application of process mining, the authors present the utilization of process mining in healthcare processes. This article further presents a clarified view for different techniques of process mining, viz. Process Discovery, Process Conformance and Process Enhancement; creation of event logs from healthcare records; utilization of event logs from Healthcare Information System (HIS) in creating process models; and application of the technique of Process Discovery, Process Conformance and Process Enhancement in understanding the efficiencies and the deficiencies in the real time healthcare processes. The paper finally discussed the present requirements in enhancing the efficiency of healthcare process mining.

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