Process mining techniques : An application to stroke care

R.S. Mans, M.H. Schonenberg, G. Leonardi, S. Panzarasa, A. Cavallini, S. Quaglini, W.M.P. Aalst, van der

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

133 Citations (Scopus)


In a competitive health-care market, hospitals have to focus on ways to streamline their processes in order to deliver high quality care while at the same time reducing costs. To accomplish this goal, hospital managers need a thorough understanding of the actual processes. Diffusion of Information and Communication Technology tools within hospitals, such as electronic clinical charts, computerized guidelines and, more generally, decision support systems, make huge collections of data available, not only for data analysis, but also for process analysis. Process mining can be used to extract process related information (e.g., process models) from data, i.e., process mining describes a family of aposteriori analysis techniques exploiting the information recorded in the event logs. This process information can be used to understand and redesign processes to become efficient high quality processes. In this paper, we apply process mining on two datasets for stroke patients and present the most interesting results. Above all, the paper demonstrates the applicability of process mining in the health-care domain.
Original languageEnglish
Title of host publicationeHealth Beyond the Horizon - Get IT There (Proceedings 21st International Congress of the European Federation for Medical Informatics, MIE 2008, Göteborg, Sweden, May 25-28, 2008)
EditorsS.K. Andersen, xx et al.
PublisherIOS Press
Publication statusPublished - 2008

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630


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