• DocumentCode
    3195101
  • Title

    Ontologies for knowledge representation in a computer-based patient record

  • Author

    Bayegan, Elisabeth ; Nytrø, Øystein ; Grimsmo, Anders

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    114
  • Lastpage
    121
  • Abstract
    In contrast to existing patient-record systems, which merely offer static applications for storage and presentation, a helpful patient-record system is a problem-oriented, knowledge-based system, which provides clinicians with situation-dependent information. We propose a practical approach to extend the current data model with (1) means to recognize and interpret situations, (2) knowledge of how clinicians work and what information they need, and (3) means to rank information according to its relevance in a given care situation. Following the methodology of second-generation knowledge-based systems, that use ontologies to define fundamental concepts, their properties, and interrelationships within a particular domain, we present an ontology that supports three prerequisite features for a future helpful patient-record system: a family-care workflow process, a problem-oriented patient record, and means to identify relevant information to the care process and medical problems.
  • Keywords
    knowledge based systems; knowledge representation; medical administrative data processing; problem solving; computer-based patient record; helpful patient-record system; knowledge representation; ontologies; problem-oriented knowledge-based system; problem-oriented patient record; second-generation knowledge-based systems; situation-dependent information; Application software; Data mining; Data models; Diagnostic expert systems; Information science; Knowledge based systems; Knowledge representation; Medical diagnostic imaging; Medical expert systems; Ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. 14th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-1849-4
  • Type

    conf

  • DOI
    10.1109/TAI.2002.1180795
  • Filename
    1180795