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-2 | Engels |
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Titel | Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings |
Plaats van productie | Cham |
Uitgeverij | Springer |
Pagina's | 404-413 |
Aantal pagina's | 10 |
ISBN van geprinte versie | 9783319914787 |
DOI's | |
Status | Gepubliceerd - 18 mei 2018 |
Evenement | 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) - Cadiz, Spanje Duur: 11 jun. 2018 → 15 jun. 2018 Congresnummer: 17 |
Publicatie series
Naam | Communications in Computer and Information Science |
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Volume | 855 |
ISSN van geprinte versie | 1865-0929 |
Congres
Congres | 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) |
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Verkorte titel | IPMU 2018 |
Land/Regio | Spanje |
Stad | Cadiz |
Periode | 11/06/18 → 15/06/18 |