On Fuzzy Compliance for Clinical Protocols

Anna Wilbik; Ivo Kuiper; Walther van Mook; Dennis Bergmans; Serge J. H. Heines; Irene T. P. Vanderfeesten

doi:10.1007/978-3-319-91479-4_34

On Fuzzy Compliance for Clinical Protocols

Anna Wilbik^*, Ivo Kuiper, Walther van Mook, Dennis Bergmans, Serge J. H. Heines, Irene T. P. Vanderfeesten

^*Corresponding author for this work

Research output: Contribution to conference › Paper › Academic

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 language	English
Pages	404-413
DOIs	https://doi.org/10.1007/978-3-319-91479-4_34
Publication status	Published - 2018
Event	International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - Cadiz, Spain Duration: 11 Jun 2018 → 15 Jun 2018

Conference

Conference	International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Abbreviated title	IPMU 2018
Country/Territory	Spain
City	Cadiz
Period	11/06/18 → 15/06/18

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title = "On Fuzzy Compliance for Clinical Protocols",

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.",

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AU - Wilbik, Anna

AU - Kuiper, Ivo

AU - Mook, Walther van

AU - Bergmans, Dennis

AU - Heines, Serge J. H.

AU - Vanderfeesten, Irene T. P.

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-319-91479-4_34

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EP - 413

T2 - International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

Y2 - 11 June 2018 through 15 June 2018

ER -

On Fuzzy Compliance for Clinical Protocols

Abstract

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