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A Model Based Slicing Technique for Process Mining Healthcare Information

Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy
Chapter
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URI
https://hdl.handle.net/11250/2754052
Date
2020
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  • Department of Information Science and Media Studies [738]
  • Registrations from Cristin [5511]
Original version
In: Babur Ö., Denil J., Vogel-Heuser B. (eds) Systems Modelling and Management. ICSMM 2020. Communications in Computer and Information Science, vol 1262. Springer, Cham   https://doi.org/10.1007/978-3-030-58167-1_6
Abstract
Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques to healthcare information due to factors relating to the complexity inherent in the healthcare domain and associated information systems. There are also challenges in understanding and meaningfully presenting results of process mining and problems relating to technical issues among the users. We propose a model based slicing approach based on dimensional modeling and ontological hierarchies that can be used to raise the level of abstraction during process mining, thereby more effectively dealing with the complexity and other issues. We also present a structural property of the proposed slicing technique for process mining.
Publisher
Springer
Copyright
Copyright 2020 Springer Nature Switzerland AG

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