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On accurate, automated and insightful deviation analysis of clinical protocols

  • H. Yan*
  • , X.D. Lu
  • , P. Van Gorp
  • , S.J.H. Heines
  • , S. Nan
  • , W. van Mook
  • , D. Bergmans
  • , U. Kaymak
  • , H.L. Duan
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

Clinical guidelines, pathways and protocols are introduced to standardize and provide best-practice care. Analyzing deviations of actual care against the documented best practices is useful to find opportunities for complying better in the future. Prior work demonstrates that deviation analyses should be accurate, automated and insightful but only few studies manage to satisfy all three intentions. In this paper, we manage to reconcile accuracy with automation and insightfulness by combining the previously disconnected steps of checking and mining in compliance analysis software. Results are achieved using an algorithm that consists of three steps. We demonstrate the effectiveness of the algorithm via a real-life case from the intensive care unit of a Dutch hospital.
Original languageEnglish
Title of host publicationPROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
PublisherIEEE
Pages1130-1134
Number of pages5
ISBN (Print)9781538654880
DOIs
Publication statusPublished - 2018
EventIEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Human Genomics - SPAIN
Duration: 3 Dec 20186 Dec 2018

Publication series

SeriesProceedings. IEEE International Conference on Bioinformatics and Biomedicine
ISSN2156-1125

Conference

ConferenceIEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Human Genomics
Period3/12/186/12/18

Keywords

  • clinical protocol
  • pathway
  • deviation
  • redesign
  • mining
  • PROCESS MODELS

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