• DocumentCode
    1977134
  • Title

    Metadata-driven software for clinical trials

  • Author

    Crichton, Charles ; Davies, Jim ; Gibbons, Jeremy ; Harris, Steve ; Tsui, Andrew ; Brenton, James

  • Author_Institution
    Comput. Lab., Oxford Univ., Oxford
  • fYear
    2009
  • fDate
    18-19 May 2009
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    The CancerGrid approach to clinical trials information systems is based on a metamodel developed from the CONSORT statement of best practice in reporting randomised controlled trials. The metamodel is instantiated with metadata elements drawn from a repository, to create a model of a particular clinical trial. The model is then used to derive automatically a trial management system customized for that trial: generating electronic case report forms, configuring randomisation and eligibility services, and parameterising the security subsystem. The key benefits of the approach are a uniform mechanism for trial registration and discovery, reduced cost and rapid implementation of information systems, and shared semantics leading to improved opportunities for meta-analysis. We describe our implementation of this approach, and outline two applications: for a breast cancer study in the UK, and for a rheumatoid arthritis study run by the US Veterans´ Health Administration.
  • Keywords
    cancer; medical information systems; meta data; software engineering; CONSORT statement; CancerGrid; clinical trials information systems; metadata-driven software; Automatic control; Best practices; Cancer; Clinical trials; Control systems; Laboratories; Management information systems; Protocols; Relational databases; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering in Health Care, 2009. SEHC '09. ICSE Workshop on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-3739-9
  • Type

    conf

  • DOI
    10.1109/SEHC.2009.5069600
  • Filename
    5069600