Process mining for healthcare: Characteristics and challenges.

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State: Public
Version: author
License: CC BY 4.0
Serval ID
serval:BIB_C95384A66C26
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Process mining for healthcare: Characteristics and challenges.
Journal
Journal of biomedical informatics
Author(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
Publication state
Published
Issued date
03/2022
Peer-reviewed
Oui
Volume
127
Pages
103994
Language
english
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
Abstract
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.
Keywords
Delivery of Health Care, Hospitals, Humans, Healthcare, Process mining
Pubmed
Web of science
Open Access
Yes
Create date
04/04/2023 15:51
Last modification date
25/11/2023 7:08
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