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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Luca Anselma & Alessio Bottrighi & Gianpaolo Molino & Stefania Montani & Paolo Terenziani & Mauro Torchio, 2011. "Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 1(1), pages 42-60, January.
    • Handle: RePEc:igg:jkbo00:v:1:y:2011:i:1:p:42-60
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