Literature DB >> 29677986

Process Mining in Primary Care: A Literature Review.

Richard Williams1, Eric Rojas2, Niels Peek1, Owen A Johnson3.   

Abstract

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.

Keywords:  Process mining; care pathways; primary care; workflow

Mesh:

Year:  2018        PMID: 29677986

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  dfgcompare: a library to support process variant analysis through Markov models.

Authors:  Amin Jalali; Paul Johannesson; Erik Perjons; Ylva Askfors; Abdolazim Rezaei Kalladj; Tero Shemeikka; Anikó Vég
Journal:  BMC Med Inform Decis Mak       Date:  2021-12-20       Impact factor: 2.796

2.  Clinical and operational insights from data-driven care pathway mapping: a systematic review.

Authors:  Matthew Manktelow; Aleeha Iftikhar; Magda Bucholc; Michael McCann; Maurice O'Kane
Journal:  BMC Med Inform Decis Mak       Date:  2022-02-17       Impact factor: 2.796

  2 in total

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