Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/36590
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | DE ROOCK, Emmelien | - |
dc.contributor.author | MARTIN, Niels | - |
dc.date.accessioned | 2022-02-02T12:31:30Z | - |
dc.date.available | 2022-02-02T12:31:30Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2022-02-01T11:19:45Z | - |
dc.identifier.citation | JOURNAL OF BIOMEDICAL INFORMATICS, 127 (Art N° 103995) | - |
dc.identifier.issn | 1532-0464 | - |
dc.identifier.uri | http://hdl.handle.net/1942/36590 | - |
dc.description.abstract | ABSTR A C T 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. | - |
dc.language.iso | en | - |
dc.publisher | - | |
dc.subject.other | Process mining | - |
dc.subject.other | Literature review | - |
dc.subject.other | Healthcare | - |
dc.subject.other | Event logs | - |
dc.title | Process mining in healthcare – An updated perspective on the state of the art | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 127 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 103995 | - |
dc.identifier.doi | 10.1016/j.jbi.2022.103995 | - |
dc.identifier.isi | 000767857700004 | - |
dc.identifier.eissn | 1532-0480 | - |
local.provider.type | CrossRef | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | no | - |
item.validation | ecoom 2023 | - |
item.contributor | DE ROOCK, Emmelien | - |
item.contributor | MARTIN, Niels | - |
item.accessRights | Open Access | - |
item.fullcitation | DE ROOCK, Emmelien & MARTIN, Niels (2022) Process mining in healthcare – An updated perspective on the state of the art. In: JOURNAL OF BIOMEDICAL INFORMATICS, 127 (Art N° 103995). | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1532-0464 | - |
crisitem.journal.eissn | 1532-0480 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S1532046422000119-main.pdf Restricted Access | Published version | 1.6 MB | Adobe PDF | View/Open Request a copy |
Document server - Accepted version.pdf | Peer-reviewed author version | 1.16 MB | Adobe PDF | View/Open |
WEB OF SCIENCETM
Citations
17
checked on May 2, 2024
Page view(s)
60
checked on Sep 7, 2022
Download(s)
14
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.