Recommendations for enhancing the usability and understandability of process mining in healthcare
| Autor: | Luis Marco-Ruiz, Fernando Seoane, Mieke Joosten-Melis, Carlos Fernandez-Llatas, Avigdor Gal, Steven Mertens, Roberto Gatta, Felix Mannhardt, Stijn Schretlen, David Baltar Boilève, Gema Ibáñez, Jorge Munoz-Gama, Jochen De Weerdt, Bram B. Van Acker, Owen A. Johnson, Niels Martin, Moe Thandar Wynn, Jochen Bergs, Jan Vanthienen |
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| Přispěvatelé: | Business technology and Operations |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Hospital information system
Process management Process (engineering) Computer science Process mining Medicine (miscellaneous) Health informatics Field (computer science) 03 medical and health sciences 0302 clinical medicine Process analysis Brainstorming Health care Process execution data Health information system Humans Event log 030304 developmental biology 0303 health sciences Healthcare processes business.industry Usability artificial intelligence business Process improvement Delivery of Health Care 030217 neurology & neurosurgery |
| Zdroj: | Artificial Intelligence in Medicine, 109:101962. Elsevier |
| ISSN: | 0933-3657 |
| Popis: | 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. ispartof: Artificial Intelligence In Medicine vol:109 ispartof: location:Netherlands status: Published online |
| Databáze: | OpenAIRE |
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