We developed an ontology that allows representation and reasoning with effects of clinical actions. The ontology can support three important use-cases: (1) summarization and explanation of observed clinical states, (2) enhancing patient safety using safety rules, and (3) assessing guideline compliance. In this paper we focus on explanation of observed clinical states based on abductive reasoning that utilizes a causal network. We demonstrate our approach using examples taken from a guideline for management of amyloidosis.

Reasoning with Effects of Clinical Guideline Actions Using OWL: AL Amyloidosis as a Case StudyKnowledge Representation for Health-Care

LEONARDI, GIORGIO;QUAGLINI, SILVANA;RUSSO, PAOLA ROSA NICE MARIA;PALLADINI, GIOVANNI;MERLINI, GIAMPAOLO
2012

Abstract

We developed an ontology that allows representation and reasoning with effects of clinical actions. The ontology can support three important use-cases: (1) summarization and explanation of observed clinical states, (2) enhancing patient safety using safety rules, and (3) assessing guideline compliance. In this paper we focus on explanation of observed clinical states based on abductive reasoning that utilizes a causal network. We demonstrate our approach using examples taken from a guideline for management of amyloidosis.
Lecture Notes in Computer Science
9783642276965
9783642276972
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11571/995589
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