• DocumentCode
    3337355
  • Title

    KON^3: A Clinical Decision Support System, in Oncology Environment, Based on Knowledge Management

  • Author

    Ceccarelli, Michele ; Donatiello, Antonio ; Vitale, Dante

  • Author_Institution
    Res. Centre on Software Technol., Univ. of Sannio, Benevento
  • Volume
    2
  • fYear
    2008
  • fDate
    3-5 Nov. 2008
  • Firstpage
    206
  • Lastpage
    210
  • Abstract
    The application of scientific methodology to clinical practice is typically realized through recommendations, policies and protocols represented as Clinical Practice Guidelines (CPG). CPG help the clinician in his choices, improving the patient care process.The representation of Guidelines and their introduction in medical information system can lead to efficient Clinical Decision Support Systems (CDSS), however this poses several interesting challenges as problems of knowledge representation, inference, workflow definition, access to unstructured data, etc. In this paper we analyze approaches and methods in computer-based CPG realization and illustrate the choices made (tools, architecture and clinical domain) to realize the KON3 system to achieve a CDSS and semantic information representation, in oncology environment
  • Keywords
    decision support systems; knowledge representation; medical information systems; KON3; clinical decision support system; computer-based CPG realization; guidelines representation; knowledge management; medical information system; oncology; patient care process; semantic information representation; workflow definition; Computer architecture; Decision support systems; Guidelines; Information analysis; Information representation; Knowledge management; Knowledge representation; Medical information systems; Oncology; Protocols; Clinical Decision Support System; Health Electronic Record; Java Expert System Shell; OWL; Ontology; Protégé; Semantic Web Rule Language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
  • Conference_Location
    Dayton, OH
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3440-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2008.46
  • Filename
    4669776