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Process Mining for Quality Improvement

Propositions for Practice and Research

Dahlin, Sara, MSc; Eriksson, Henrik, PhD; Raharjo, Hendry, PhD

Quality Management in Healthcare: January/March 2019 - Volume 28 - Issue 1 - p 8–14
doi: 10.1097/QMH.0000000000000197
Original Articles

Objective: Process mining offers ways to discover patient flow, check how actual processes conform to a standard, and use data to enhance or improve processes. Process mining has been used in health care for about a decade, however, with limited focus on quality improvement. Hence, the aim of the article is to present how process mining can be used to support quality improvement, thereby bridging the gap between process mining and quality improvement.

Method: We have analyzed current literature to perform a comparison between process mining and process mapping.

Result: To better understand how process mining can be used for quality improvement we provide 2 examples. We have noted 4 limitations that must be overcome, which have been formulated as propositions for practice. We have also formulated 3 propositions for future research.

Conclusion: In summary, although process mapping is still valuable in quality improvement, we suggest increased focus on process mining. Process mining adds to quality improvement by providing a better understanding of processes in terms of uncovering (un)wanted variations as to obtain better system results.

Division of Service Management and Logistics and Centre for Healthcare Improvement, Department of Technology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden.

Correspondence: Sara Dahlin, MSc, Department of Technology Management and Economics, Chalmers University of Technology, 412 96 Gothenburg, Sweden (

The research was partly financed by Regional Cancer Centre West, Gothenburg, Sweden, through the Centre of Healthcare Improvement, Chalmers University of Technology.

The authors declare no conflicts of interest

© 2019Wolters Kluwer Health | Lippincott Williams & Wilkins