Process Mining in Primary Care: A Literature Review.

Process mining is the discipline of discovering processes from event logs, checking the conformance of real world events to idealized processes, and ultimately finding ways to improve those processes. It was originally applied to business processes and has recently been applied to healthcare. It can...

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Publicado en:Studies in Health Technology & Informatics Vol. 247; pp. 376 - 381
Autores principales: WILLIAMS, Richard, ROJAS, Eric, PEEK, Niels, JOHNSON, Owen A.
Formato: research systematic review tables/charts Journal Article
Publicado: Sage Publications Inc. 2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2018
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        atl: Process Mining in Primary Care: A Literature Review.
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        au:
          WILLIAMS, Richard
          ROJAS, Eric
          PEEK, Niels
          JOHNSON, Owen A.
        affil: MRC Health eResearch Centre, Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK
      sug:
        subj:
          Data Mining
          Process Assessment (Health Care)
          Primary Health Care
          Community Health Services
          Systematic Review
          Human
          Algorithms
          Workflow
          Critical Path
          PubMed
          Coding
          Resource Databases, Health
          Funding Source
      ab: Process mining is the discipline of discovering processes from event logs, checking the conformance of real world events to idealized processes, and ultimately finding ways to improve those processes. It was originally applied to business processes and has recently been applied to healthcare. It can reveal insights into clinical care pathways and inform the redesign of healthcare services. We reviewed the literature on process mining, to investigate the extent to which process mining has been applied to primary care, and to identify specific challenges that may arise in this setting. We identified 143 relevant papers, of which only a small minority (n=7) focused on primary care settings. Reported challenges included data quality (consistency and completeness of routinely collected data); selection of appropriate algorithms and tools; presentation of results; and utilization of results in real-world applications.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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