Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance

Christoph Rinner, Emmanuel Helm, Reinhold Dunkl, Harald Kittler and Stefanie Rinderle-Ma
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Christoph Rinner: Center for Medical Statistics, Informatics, and Intelligent Systems (CeMSIIS), Medical University of Vienna, Spitalgasse 23, 1010 Vienna, Austria
Emmanuel Helm: Research Department of Advanced Information Systems and Technology, University of Applied Sciences Upper Austria, Softwarepark 13, 4232 Hagenberg, Austria
Reinhold Dunkl: Faculty of Computer Science, University of Vienna, Währinger Strasse 29, 1010 Vienna, Austria
Harald Kittler: Department of Dermatology, Medical University of Vienna, Währinger Gürtel 18-20, 1010 Vienna, Austria
Stefanie Rinderle-Ma: Faculty of Computer Science, University of Vienna, Währinger Strasse 29, 1010 Vienna, Austria

IJERPH, 2018, vol. 15, issue 12, 1-14

Abstract: Background: Process mining is a relatively new discipline that helps to discover and analyze actual process executions based on log data. In this paper we apply conformance checking techniques to the process of surveillance of melanoma patients. This process consists of recurring events with time constraints between the events. Objectives: The goal of this work is to show how existing clinical data collected during melanoma surveillance can be prepared and pre-processed to be reused for process mining. Methods: We describe an approach based on time boxing to create process models from medical guidelines and the corresponding event logs from clinical data of patient visits. Results: Event logs were extracted for 1023 patients starting melanoma surveillance at the Department of Dermatology at the Medical University of Vienna between January 2010 and June 2017. Conformance checking techniques available in the ProM framework and explorative applied process mining techniques were applied. Conclusions: The presented time boxing enables the direct use of existing process mining frameworks like ProM to perform process-oriented analysis also with respect to time constraints between events.

Keywords: health care processes; process mining; electronic health records; medical guidelines (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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