Process mining in healthcare - An updated perspective on the state of the art.
Process mining is the research domain focusing on the development of innovative methods to gather insights from event logs. It has been used for various use cases within the healthcare domain with the ambition to instigate evidence-based process improvement. Over the past years, the research interes...
| Published in: | Journal of Biomedical Informatics Vol. 127 |
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| Main Authors: | , |
| Format: | review Journal Article |
| Published: |
Academic Press Inc.
Mar2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155527425&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155527425 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Mar2022 vid: 127 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 155527425 155527425 NLM35077900 155527425 10.1016/j.jbi.2022.103995 NLM35077900 155527425 ppct: 1 formats: tig: atl: Process mining in healthcare - An updated perspective on the state of the art. aug: au: De Roock, Emmelien Martin, Niels affil: Vrije Universiteit Brussel, Data Analytics Laboratory, Pleinlaan 2, 1050 Elsene, Belgium sug: subj: Health Care Delivery ab: Process mining is the research domain focusing on the development of innovative methods to gather insights from event logs. It has been used for various use cases within the healthcare domain with the ambition to instigate evidence-based process improvement. Over the past years, the research interest in process mining in healthcare has been increasing. This paper presents the results of an extensive systematic literature review on process mining in healthcare in which 263 papers have been reviewed. Besides providing the most recent overview of literature and the extensive number of reviewed papers, we complement existing reviews by considering three novel review dimensions: (i) the process mining project stages, (ii) the involvement of domain expertise, and (iii) the Key Performance Indicators (KPI) considered during the process mining analysis. Orthogonal to these three novel dimensions, we also highlight the evolution of the research domain by considering time trends within the review dimensions. The review generates new perspectives on process mining in healthcare as a research domain. For instance, process redesign is rarely part of a process mining project, domain experts are mostly asked for validating insights, and less than half of the published papers considers one or more specific KPIs to direct their analysis. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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