• DocumentCode
    2153245
  • Title

    Knowledge-Based System for Managing Complex Clinical Trials

  • Author

    Shankar, Ravi D. ; Martins, Susana B. ; Connor, Martin O. ; Parrish, David B. ; Das, Amar K.

  • Author_Institution
    Stanford Medical Informatics, Stanford Univ., CA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    270
  • Lastpage
    278
  • Abstract
    Clinical trials are formal patient studies that serve as the gold standard method for establishing the efficacy of medical treatments. There is an enormous requirement to specify the knowledge used at all stages of clinical trials, including planning, implementation, and analysis, so that they can be faithfully executed by a clinical research organization. We are building Epoch, a knowledge-based system, to help a large research consortium, the immune tolerance network (ITN), undertake trials to advance new therapeutics in immune-mediated disorders. We are currently targeting two application areas essential to the successful implementation of a trial: (1) tracking study participants as they advance through a study, and (2) tracking biological specimens as they are processed at laboratories. In this paper, we discuss our use of the Web ontology language (OWL) to create a suite of ontologies that conceptualize the clinical trial domain and show how they can inform our system. We show that our ontological framework provides a stable, consistent platform to define, maintain, and distribute the knowledge requirements used in clinical trial management
  • Keywords
    knowledge based systems; medical administrative data processing; medical computing; ontologies (artificial intelligence); patient treatment; Epoch; Web ontology language; clinical trial management; immune tolerance network; knowledge-based system; medical treatments; Clinical trials; Gold; Immune system; Knowledge based systems; Knowledge management; Laboratories; Medical treatment; OWL; Ontologies; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2517-1
  • Type

    conf

  • DOI
    10.1109/CBMS.2006.107
  • Filename
    1647581