Process mining for healthcare: Characteristics and challenges.

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Etat: Public
Version: de l'auteur⸱e
Licence: CC BY 4.0
ID Serval
serval:BIB_C95384A66C26
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Process mining for healthcare: Characteristics and challenges.
Périodique
Journal of biomedical informatics
Auteur⸱e⸱s
Munoz-Gama J., Martin N., Fernandez-Llatas C., Johnson O.A., Sepúlveda M., Helm E., Galvez-Yanjari V., Rojas E., Martinez-Millana A., Aloini D., Amantea I.A., Andrews R., Arias M., Beerepoot I., Benevento E., Burattin A., Capurro D., Carmona J., Comuzzi M., Dalmas B., de la Fuente R., Di Francescomarino C., Di Ciccio C., Gatta R., Ghidini C., Gonzalez-Lopez F., Ibanez-Sanchez G., Klasky H.B., Prima Kurniati A., Lu X., Mannhardt F., Mans R., Marcos M., Medeiros de Carvalho R., Pegoraro M., Poon S.K., Pufahl L., Reijers H.A., Remy S., Rinderle-Ma S., Sacchi L., Seoane F., Song M., Stefanini A., Sulis E., Ter Hofstede AHM, Toussaint P.J., Traver V., Valero-Ramon Z., Weerd I.V., van der Aalst WMP, Vanwersch R., Weske M., Wynn M.T., Zerbato F.
ISSN
1532-0480 (Electronic)
ISSN-L
1532-0464
Statut éditorial
Publié
Date de publication
03/2022
Peer-reviewed
Oui
Volume
127
Pages
103994
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
Publication Status: ppublish
Résumé
Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly on the analysis of diagnostic, treatment, and organisational processes. Despite the huge amount of data generated in hospitals by staff and machinery involved in healthcare processes, there is no evidence of a systematic uptake of process mining beyond targeted case studies in a research context. When developing and using process mining in healthcare, distinguishing characteristics of healthcare processes such as their variability and patient-centred focus require targeted attention. Against this background, the Process-Oriented Data Science in Healthcare Alliance has been established to propagate the research and application of techniques targeting the data-driven improvement of healthcare processes. This paper, an initiative of the alliance, presents the distinguishing characteristics of the healthcare domain that need to be considered to successfully use process mining, as well as open challenges that need to be addressed by the community in the future.
Mots-clé
Delivery of Health Care, Hospitals, Humans, Healthcare, Process mining
Pubmed
Web of science
Open Access
Oui
Création de la notice
04/04/2023 16:51
Dernière modification de la notice
25/11/2023 8:08
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