On fuzzy compliance for clinical protocols

Anna Wilbik, Ivo Kuiper, Walther van Mook, Dennis Bergmans, Serge Heines, Irene Vanderfeesten

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Abstract

Clinical protocols are introduced in hospitals to standardize the care delivery process. Compliance is a measure used to determine whether the protocol has been followed. However, so far an activity in the protocol could be either compliant or non-compliant. In this paper we consider the compliance of a single activity as a fuzzy term. We propose to define the rules which can assess the compliance degree of an activity. We proposed the fuzzy compliance measure of clinical protocol that aggregates those compliance degrees. We demonstrate a case of glucose management protocol at Intensive Care Unit (ICU). Initial results are promising.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings
Place of PublicationCham
PublisherSpringer
Pages404-413
Number of pages10
ISBN (Print)9783319914787
DOIs
Publication statusPublished - 18 May 2018
Event17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) - Cadiz, Spain
Duration: 11 Jun 201815 Jun 2018
Conference number: 17

Publication series

NameCommunications in Computer and Information Science
Volume855
ISSN (Print)1865-0929

Conference

Conference17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018)
Abbreviated titleIPMU 2018
CountrySpain
CityCadiz
Period11/06/1815/06/18

Keywords

  • Clinical protocols
  • Compliance
  • Fuzzy evaluation

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    Wilbik, A., Kuiper, I., van Mook, W., Bergmans, D., Heines, S., & Vanderfeesten, I. (2018). On fuzzy compliance for clinical protocols. In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings (pp. 404-413). (Communications in Computer and Information Science; Vol. 855). Cham: Springer. https://doi.org/10.1007/978-3-319-91479-4_34