Process mining in healthcare: A literature review.
Process Mining focuses on extracting knowledge from data generated and stored in corporate information systems in order to analyze executed processes. In the healthcare domain, process mining has been used in different case studies, with promising results. Accordingly, we have conducted a literature...
| Published in: | Journal of Biomedical Informatics Vol. 61; pp. 224 - 237 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Academic Press Inc.
Jun2016
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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=115825553&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115825553 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Jun2016 vid: 61 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 115825553 115825553 NLM27109932 115825553 10.1016/j.jbi.2016.04.007 NLM27109932 115825553 ppf: 224 ppct: 13 formats: tig: atl: Process mining in healthcare: A literature review. aug: au: Rojas, Eric Munoz-Gama, Jorge Sepúlveda, Marcos Capurro, Daniel affil: Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Chile sug: subj: Data Mining Health Care Delivery Algorithms Human Knowledge ab: Process Mining focuses on extracting knowledge from data generated and stored in corporate information systems in order to analyze executed processes. In the healthcare domain, process mining has been used in different case studies, with promising results. Accordingly, we have conducted a literature review of the usage of process mining in healthcare. The scope of this review covers 74 papers with associated case studies, all of which were analyzed according to eleven main aspects, including: process and data types; frequently posed questions; process mining techniques, perspectives and tools; methodologies; implementation and analysis strategies; geographical analysis; and medical fields. The most commonly used categories and emerging topics have been identified, as well as future trends, such as enhancing Hospital Information Systems to become process-aware. This review can: (i) provide a useful overview of the current work being undertaken in this field; (ii) help researchers to choose process mining algorithms, techniques, tools, methodologies and approaches for their own applications; and (iii) highlight the use of process mining to improve healthcare processes. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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