Reasoning with effects of clinical guideline actions using OWL: AL amyloidosis as a case study

Authors:
Mor Peleg;Samson W. Tu;Giorgio Leonardi;Silvana Quaglini;Paola Russo;Giovanni Palladini;Giampaolo Merlini
Affiliations:
University of Haifa, Haifa, Israel;Stanford University, Stanford, CA;University of Pavia, Pavia, Italy;University of Pavia, Pavia, Italy;Amyloidosis Research and Treatment Center and Dept. of Biochemistry, IRCCS Policlinico San Matteo FDN and University of Pavia, Pavia, Italy;Amyloidosis Research and Treatment Center and Dept. of Biochemistry, IRCCS Policlinico San Matteo FDN and University of Pavia, Pavia, Italy;Amyloidosis Research and Treatment Center and Dept. of Biochemistry, IRCCS Policlinico San Matteo FDN and University of Pavia, Pavia, Italy
Venue:
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Year:
2011

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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.