On fuzzy compliance for clinical protocols

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
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Samenvatting

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.

Originele taal-2Engels
TitelInformation Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings
Plaats van productieCham
UitgeverijSpringer
Pagina's404-413
Aantal pagina's10
ISBN van geprinte versie9783319914787
DOI's
StatusGepubliceerd - 18 mei 2018
Evenement17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) - Cadiz, Spanje
Duur: 11 jun. 201815 jun. 2018
Congresnummer: 17

Publicatie series

NaamCommunications in Computer and Information Science
Volume855
ISSN van geprinte versie1865-0929

Congres

Congres17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018)
Verkorte titelIPMU 2018
Land/RegioSpanje
StadCadiz
Periode11/06/1815/06/18

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