Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach

Luca Anselma, Alessio Bottrighi, Gianpaolo Molino, Stefania Montani, Paolo Terenziani and Mauro Torchio
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Luca Anselma: Università di Torino, Torino, Italy
Alessio Bottrighi: Università del Piemonte Orientale , Alessandria, Italy
Gianpaolo Molino: AOU San Giovanni Battista, Torino, Italy
Stefania Montani: Università del Piemonte Orientale, Alessandria, Italy
Paolo Terenziani: Università del Piemonte Orientale, Alessandria, Italy
Mauro Torchio: AOU San Giovanni Battista, Torino, Italy

International Journal of Knowledge-Based Organizations (IJKBO), 2011, vol. 1, issue 1, 42-60

Abstract: Knowledge-based clinical decision making is one of the most challenging activities of physicians. Clinical Practice Guidelines are commonly recognized as a useful tool to help physicians in such activities by encoding the indications provided by evidence-based medicine. Computer-based approaches can provide useful facilities to put guidelines into practice and to support physicians in decision-making. Specifically, GLARE (GuideLine Acquisition, Representation and Execution) is a domain-independent prototypical tool providing advanced Artificial Intelligence techniques to support medical decision making, including what-if analysis, temporal reasoning, and decision theory analysis. The paper describes such facilities considering a real-world running example and focusing on the treatment of therapeutic decisions.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jkbo00:v:1:y:2011:i:1:p:42-60

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