Guideline recommendation text disambiguation, representation and testing

Authors:
Silvana Quaglini;Silvia Panzarasa;Anna Cavallini;Giuseppe Micieli
Affiliations:
Dept. of Computer Science and Systems, University of Pavia;CBIM, Pavia;IRCCS Foundation "C. Mondino", Pavia;IRCCS Foundation "C. Mondino", Pavia
Venue:
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Year:
2011

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Abstract

This paper describes a knowledge acquisition tool for translating a guideline recommendation into a computer-interpretable format. The novelty of the tool is that it is addressed to the domain experts, and it helps them to disambiguate the natural language, by decomposing the recommendation into elements, eliciting tacit and implicit knowledge hidden into a recommendation and its context, mapping patient's data, available from the electronic record, to standard terms and immediately testing the formalised rule using past cases data.