• DocumentCode
    3549379
  • Title

    Hospital care watch (HCW): an ontology and rule-based intelligent patient management assistant

  • Author

    Payne, Velma L. ; Metzler, Douglas P.

  • Author_Institution
    Inf. Sci. & Telecommun., Pittsburgh Univ., PA, USA
  • fYear
    2005
  • fDate
    23-24 June 2005
  • Firstpage
    479
  • Lastpage
    484
  • Abstract
    Hospital care watch (HCW) is a prototype medical intelligent assistant to improve patient care and safety and to reduce medical errors in the hospital setting. The system is based on an ontology of hospital care concepts including hospital activities, procedures, and policies, and insurance policies, as well as medical knowledge per se. A set of abstract rule types model general situations that need to be identified to detect potential problems and particular instantiations of those rule types identify individual situations. The system is not designed to provide medical diagnosis or other professional decision making; but rather to track the implications of such medical decisions taken by physicians and other medical professionals within the context of the guidelines and regulations of the medical environment, and the background of established medical knowledge.
  • Keywords
    health care; intelligent design assistants; medical expert systems; medical information systems; ontologies (artificial intelligence); hospital activities; hospital care watch; hospital procedures; hospital setting; insurance policies; medical diagnosis; medical error reduction; medical guidelines; medical intelligent assistant; medical knowledge; medical regulation; ontology; patient care; patient safety; professional decision making; rule-based intelligent patient management assistant; Decision making; Guidelines; Hospitals; Insurance; Medical diagnosis; Medical diagnostic imaging; Ontologies; Prototypes; Safety; Watches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2005. Proceedings. 18th IEEE Symposium on
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2355-2
  • Type

    conf

  • DOI
    10.1109/CBMS.2005.64
  • Filename
    1467737