An ontological framework for representing clinical knowledge in decision support systems (Articolo in rivista)

Type
Label
  • An ontological framework for representing clinical knowledge in decision support systems (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Iannaccone M.; Esposito M. (2014)
    An ontological framework for representing clinical knowledge in decision support systems
    in Journal of Telecommunications and Information Technology
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Iannaccone M.; Esposito M. (literal)
Pagina inizio
  • 77 (literal)
Pagina fine
  • 83 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84899090375&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2014 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR, ICAR-CNR (literal)
Titolo
  • An ontological framework for representing clinical knowledge in decision support systems (literal)
Abstract
  • In the last decades, clinical evidence and expert consensus have been encoded into advanced Decision Sup- port Systems (DSSs) in order to promote a better integration into the clinical workflow and facilitate the automatic provi- sion of patient specific advice at the time and place where decisions are made. However, clinical knowledge, typically expressed as unstructured and free text guidelines, requires to be encoded into a computer interpretable form suitable for being interpreted and processed by DSSs. For this rea- son, this paper proposes an ontological framework, which en- ables the encoding of clinical guidelines from text to a formal representation, in order to allow querying, advanced reason- ing and management in a well defined and rigorous way. In particular, it jointly manages declarative and procedural as- pects of a standards based verifiable guideline model, named GLM-CDS (GuideLine Model for Clinical Decision Support), and expresses reasoning tasks that exploit such a represented knowledge in order to formalize integrity constraints, business rules and complex inference rules. (literal)
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