Title: Process mining in healthcare: a systematised literature review

Authors: Mahdi Ghasemi; Daniel Amyot

Addresses: School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward St., Ottawa, Ontario, K1N 6N5, Canada ' School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward St., Ottawa, Ontario, K1N 6N5, Canada

Abstract: Process mining is a promising approach that turns event logs into valuable insights about processes. One domain amenable to process mining is healthcare, where an enormous amount of data is generated by care processes, but where realistic care models are seldom available. In this paper, we perform a systematised literature review (SdLR) to assess the status of process mining, particularly in healthcare. We first provide an overview of process mining in general, and in healthcare in particular. On the basis of 2371 research publications related to process mining, obtained by querying six relevant search engines in May 2016, we found that the trend of publications in this domain has been growing over the past decade, especially in healthcare. Among the 11 existing literature reviews on process mining selected for further analysis, only two are systematised, and only three relate to healthcare. This paper contributes a systematised review in healthcare that is much needed to fill this void. Important challenges specific to healthcare are identified, and threats to the validity of the results are also discussed.

Keywords: process mining; e-health; electronic healthcare; care processes; clinical pathways; literature review; event logs; care models.

DOI: 10.1504/IJEH.2016.078745

International Journal of Electronic Healthcare, 2016 Vol.9 No.1, pp.60 - 88

Received: 01 Apr 2016
Accepted: 17 Jun 2016

Published online: 30 Aug 2016 *

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