On fuzzy compliance for clinical protocols

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

6 Downloads (Pure)

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
Title of host publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings
Place of Publication	Cham
Publisher	Springer
Pages	404-413
Number of pages	10
ISBN (Print)	9783319914787
DOIs	https://doi.org/10.1007/978-3-319-91479-4_34
Publication status	Published - 18 May 2018
Event	17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) - Cadiz, Spain Duration: 11 Jun 2018 → 15 Jun 2018 Conference number: 17

Publication series

Name	Communications in Computer and Information Science
Volume	855
ISSN (Print)	1865-0929

Conference

Conference	17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018)
Abbreviated title	IPMU 2018
Country/Territory	Spain
City	Cadiz
Period	11/06/18 → 15/06/18

Keywords

Clinical protocols
Compliance
Fuzzy evaluation

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

Cite this

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). Springer. https://doi.org/10.1007/978-3-319-91479-4_34

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keywords = "Clinical protocols, Compliance, Fuzzy evaluation",

author = "Anna Wilbik and Ivo Kuiper and {van Mook}, Walther and Dennis Bergmans and Serge Heines and Irene Vanderfeesten",

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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. Communications in Computer and Information Science, vol. 855, Springer, Cham, pp. 404-413, 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), Cadiz, Spain, 11/06/18. https://doi.org/10.1007/978-3-319-91479-4_34

On fuzzy compliance for clinical protocols. / Wilbik, Anna; Kuiper, Ivo; van Mook, Walther et al.
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings. Cham: Springer, 2018. p. 404-413 (Communications in Computer and Information Science; Vol. 855).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

On fuzzy compliance for clinical protocols

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