Process mining in healthcare: A literature review.
Process Mining focuses on extracting knowledge from data generated and stored in corporate information systems in order to analyze executed processes. In the healthcare domain, process mining has been used in different case studies, with promising results. Accordingly, we have conducted a literature review of the usage of process mining in healthcare. The scope of this review covers 74 papers with associated case studies, all of which were analyzed according to eleven main aspects, including: process and data types; frequently posed questions; process mining techniques, perspectives and tools; methodologies; implementation and analysis strategies; geographical analysis; and medical fields. The most commonly used categories and emerging topics have been identified, as well as future trends, such as enhancing Hospital Information Systems to become process-aware. This review can: (i) provide a useful overview of the current work being undertaken in this field; (ii) help researchers to choose process mining algorithms, techniques, tools, methodologies and approaches for their own applications; and (iii) highlight the use of process mining to improve healthcare processes.
Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Chile. Electronic address: eric.rojas@uc.cl.
Eric
E
Rojas
Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Chile. Electronic address: jmun@ing.puc.cl.
Jorge
J
Munoz-Gama
Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Chile. Electronic address: marcos@ing.puc.cl.
Marcos
M
Sepúlveda
Internal Medicine Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile. Electronic address: dcapurro@med.puc.cl.
Daniel
D
Capurro
D000465:Algorithms; D057225:Data Mining; D003695:Delivery of Health Care; D006801:Humans; D019359:Knowledge
Case studies; Healthcare; Literature review; Process mining; Processes