Process Mining for Quality Improvement: Propositions for Practice and Research.
Objective: Process mining offers ways to discover patient flow, check how actual processes conform to a standard, and use data to enhance or improve processes. Process mining has been used in health care for about a decade, however, with limited focus on quality improvement. Hence, the aim of the ar...
| Publicado en: | Quality Management in Health Care Vol. 28; no. 1; pp. 8 - 15 |
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| Autores principales: | , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jan-Mar2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134229842&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134229842 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10638628 0O9 jtl: Quality Management in Health Care issn: 10638628 maglogo: N pubinfo: dt: Jan-Mar2019 vid: 28 iid: 1 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 134229842 134229842 134229842 10.1097/QMH.0000000000000197 134229842 ppf: 8 ppct: 7 formats: tig: atl: Process Mining for Quality Improvement: Propositions for Practice and Research. aug: au: Dahlin, Sara Eriksson, Henrik Raharjo, Hendry affil: Division of Service Management and Logistics and Centre for Healthcare Improvement, Department of Technology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden sug: subj: Quality Improvement Data Mining Quality Management, Organizational ab: Objective: Process mining offers ways to discover patient flow, check how actual processes conform to a standard, and use data to enhance or improve processes. Process mining has been used in health care for about a decade, however, with limited focus on quality improvement. Hence, the aim of the article is to present how process mining can be used to support quality improvement, thereby bridging the gap between process mining and quality improvement. Method: We have analyzed current literature to perform a comparison between process mining and process mapping. Result: To better understand how process mining can be used for quality improvement we provide 2 examples. We have noted 4 limitations that must be overcome, which have been formulated as propositions for practice. We have also formulated 3 propositions for future research. Conclusion: In summary, although process mapping is still valuable in quality improvement, we suggest increased focus on process mining. Process mining adds to quality improvement by providing a better understanding of processes in terms of uncovering (un)wanted variations as to obtain better system results. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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