On process mining in health care

U. Kaymak, R.S. Mans, T.J.H. van de Steeg, M. Dierks

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

33 Citations (Scopus)
4 Downloads (Pure)

Abstract

With the increasing demand for health care, hospitals are looking for ways to optimize their care processes in order to increase efficiency, while guaranteeing the quality of the care. Process modeling is a crucial step for process improvement, since it provides a process model that can be analyzed and optimized. Process mining is a recent promising methodology to discover process models based on data from event logs. However, early applications of process mining to health care has produced overly complex models, which have been attributed to the complexity of the health care domain. In this paper, we argue that existing process mining methods fail to identify good process models, even for well-defined clinical processes. We identify a number of reasons for this shortcoming and discuss a few directions for extending process mining methods in order to make them more suitable for the clinical domain.
Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics (Seoul, Korea, October 14-17, 2012)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1859-1864
ISBN (Print)978-1-4673-1713-9
DOIs
Publication statusPublished - 2012

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