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Process Mining for Case Acquisition in Oncology: A Systematic Literature Review

Joscha Grüger; Ralph Bergmann; Yavuz Kazik; Martin Kuhn
In: Proceedings of the "Lernen, Wissen, Daten, Analysen" (LWDA) 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2020), located at Intelligent Future Days (IFD) 2020, September 9-11, Bonn/ St. Augustin (ONLINE), Germany, Pages 162-173,, 2020.


Process Mining is a technology family for the analysis of business processes based on event logs. The methods are successfully applied in various areas, including medicine. This paper examines, using a systematic literature review, whether Process Mining is suitable for case acquisition from Hospital Information Systems in order to construct a case base for experience-based systems targeted at decision support in oncology. The review investigates whether there are special characteristics of process mining in the oncological field compared to other medical fields and if the development of similarity measures is discussed in the contributions. For this purpose, 2848 papers were reviewed manually, based on title, abstract and full text, resulting in 55 relevant papers. These were analyzed in detail regarding the research questions. The paper can serve as a basis for further research, identify research opportunities in this domain and provide a useful overview of the current work.