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2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (2016)
Berlin, Germany
Oct. 5, 2016 to Oct. 7, 2016
ISBN: 978-1-5090-4147-3
pp: 125-130
ABSTRACT
Process mining (PM) as applied in different industrial settings is considered as an effective technique for business process analytics. In healthcare domain, applications of this technique are yet limited but emerging. Process conformance verification, which is applied to measure differences between process model specification and process enactments, is one of the basic reasons to use the PM technique. The differences highlight the gaps to improve the process model specification by using the information gained from the process enactments. This paper first provides an overview of the studies that use the PM technique for conformance verification of healthcare processes as elicited from a systematic mapping study. It then describes the features of a tool that will use the PM technique to carry out process analytics in an intensive care unit of a university hospital.
INDEX TERMS
Medical services, Clustering algorithms, Data mining, Systematics, Analytical models, Context modeling, Data models
CITATION

T. Erdogan and A. Tarhan, "Process Mining for Healthcare Process Analytics," 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement(IWSM Mensura), Berlin, Germany, 2016, pp. 125-130.
doi:10.1109/IWSM-Mensura.2016.027
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