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Recommendations for enhancing the usability and understandability of process mining in healthcare

Martin, Niels (author)
Research Foundation Flanders (FWO), Belgium
De Weerdt, Jochen (author)
KU Leuven, Belgium
Fernandez-Llatas, Carlos (author)
Karolinska Institutet
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Gal, Avigdor (author)
Technion – Israel Institute of Technology, Israel
Gatta, Roberto (author)
Centre Hopitalier Universitaire de Vaudois, Switzerland
Ibanez, Gema (author)
Universitat Politécnica de Valencia, Spain
Johnson, Owen (author)
Leeds University, United Kingdom
Mannhardt, Felix (author)
SINTEF Digital, Norway
Marco-Ruiz, Luis (author)
Nasjonalt Senter for e-helseforskning, Norway
Mertens, Steven (author)
Ghent University, Belgium
Munoz-Gama, Jorge (author)
Pontificia Universidad Católica de Chile, Chile
Seoane, Fernando, 1976- (author)
Högskolan i Borås,Akademin för vård, arbetsliv och välfärd,Akademin för textil, teknik och ekonomi,Karolinska Institutet, Sweden
Vanthienen, Jan (author)
KU Leuven, Belgium
Wynn, Moe Thandar (author)
Queensland University of Technology, Australia
Boileve, David Baltar (author)
Hospital Universitario Lucus Augusti, Spain
Bergs, Jochen (author)
Hasselt University, Belgium
Joosten-Melis, Mieke (author)
Radboud UMC, The Netherlands
Schretlen, Stijn (author)
Medtronic Integrated Health Solutions, The Netherlands
Van Acker, Bart (author)
Radboud UMC, The Netherlands
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 (creator_code:org_t)
Elsevier, 2020
2020
English.
In: Artificial Intelligence in Medicine. - : Elsevier. - 0933-3657 .- 1873-2860. ; 109
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Healthcare organizations are confronted with challenges including the contention between tightening budgets and increased care needs. In the light of these challenges, they are becoming increasingly aware of the need to improve their processes to ensure quality of care for patients. To identify process improvement opportunities, a thorough process analysis is required, which can be based on real-life process execution data captured by health information systems. Process mining is a research field that focuses on the development of techniques to extract process-related insights from process execution data, providing valuable and previously unknown information to instigate evidence-based process improvement in healthcare. However, despite the potential of process mining, its uptake in healthcare organizations outside case studies in a research context is rather limited. This observation was the starting point for an international brainstorm seminar. Based on the seminar’s outcomes and with the ambition to stimulate a more widespread use of process mining in healthcare, this paper formulates recommendations to enhance the usability and understandability of process mining in healthcare. These recommendations are mainly targeted towards process mining researchers and the community to consider when developing a new research agenda for process mining in healthcare. Moreover, a limited number of recommendations are directed towards healthcare organizations and health information systems vendors, when shaping an environment to enable the continuous use of process mining.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences (hsv//eng)

Keyword

Process mining; Healthcare processes; Event log; Process execution data; Health information system; Hospital information system; Process analysis; Process improvement

Publication and Content Type

ref (subject category)
art (subject category)

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