Sökning: WFRF:(Munoz Gama Jorge)
> (2020) >
Recommendations for...
Recommendations for enhancing the usability and understandability of process mining in healthcare
-
- Martin, Niels (författare)
- Research Foundation Flanders (FWO), Belgium
-
- De Weerdt, Jochen (författare)
- KU Leuven, Belgium
-
- Fernandez-Llatas, Carlos (författare)
- Karolinska Institutet
-
visa fler...
-
- Gal, Avigdor (författare)
- Technion – Israel Institute of Technology, Israel
-
- Gatta, Roberto (författare)
- Centre Hopitalier Universitaire de Vaudois, Switzerland
-
- Ibanez, Gema (författare)
- Universitat Politécnica de Valencia, Spain
-
- Johnson, Owen (författare)
- Leeds University, United Kingdom
-
- Mannhardt, Felix (författare)
- SINTEF Digital, Norway
-
- Marco-Ruiz, Luis (författare)
- Nasjonalt Senter for e-helseforskning, Norway
-
- Mertens, Steven (författare)
- Ghent University, Belgium
-
- Munoz-Gama, Jorge (författare)
- Pontificia Universidad Católica de Chile, Chile
-
- Seoane, Fernando, 1976- (författare)
- Högskolan i Borås,Akademin för vård, arbetsliv och välfärd,Akademin för textil, teknik och ekonomi,Karolinska Institutet, Sweden
-
- Vanthienen, Jan (författare)
- KU Leuven, Belgium
-
- Wynn, Moe Thandar (författare)
- Queensland University of Technology, Australia
-
- Boileve, David Baltar (författare)
- Hospital Universitario Lucus Augusti, Spain
-
- Bergs, Jochen (författare)
- Hasselt University, Belgium
-
- Joosten-Melis, Mieke (författare)
- Radboud UMC, The Netherlands
-
- Schretlen, Stijn (författare)
- Medtronic Integrated Health Solutions, The Netherlands
-
- Van Acker, Bart (författare)
- Radboud UMC, The Netherlands
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2020
- 2020
- Engelska.
-
Ingår i: Artificial Intelligence in Medicine. - : Elsevier. - 0933-3657 .- 1873-2860. ; 109
- Relaterad länk:
-
https://eprints.qut....
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
http://kipublication...
-
visa färre...
Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- 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)
Nyckelord
- Process mining; Healthcare processes; Event log; Process execution data; Health information system; Hospital information system; Process analysis; Process improvement
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Martin, Niels
-
De Weerdt, Joche ...
-
Fernandez-Llatas ...
-
Gal, Avigdor
-
Gatta, Roberto
-
Ibanez, Gema
-
visa fler...
-
Johnson, Owen
-
Mannhardt, Felix
-
Marco-Ruiz, Luis
-
Mertens, Steven
-
Munoz-Gama, Jorg ...
-
Seoane, Fernando ...
-
Vanthienen, Jan
-
Wynn, Moe Thanda ...
-
Boileve, David B ...
-
Bergs, Jochen
-
Joosten-Melis, M ...
-
Schretlen, Stijn
-
Van Acker, Bart
-
visa färre...
- Om ämnet
-
- NATURVETENSKAP
-
NATURVETENSKAP
-
och Data och informa ...
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Hälsovetenskap
- Artiklar i publikationen
-
Artificial Intel ...
- Av lärosätet
-
Högskolan i Borås
-
Karolinska Institutet