The cancer informatics infrastructure (CII): An architecture for translating clinical research into patient care

John S. Silva, Marion J. Ball, Judith V. Douglas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Today, the clinical trial process remains slow and paperbased. The creation of a Cancer Informatics Infrastructure (CII) can provide the architectural base across the continuum of cancer research and cancer care. Recommendations of a Long Range Planning Committee identified near-term activities for the Office of Informatics at the National Cancer Institute (NCI). These include participating in national standards development; fostering oncology-related terminology and standards, e.g., Common Data Elements (CDEs); and leveraging mainstream informatics and Internet technologies, using the successful Internet model that focuses on facilitating stakeholder participation, sponsoring the CII rather than subsidizing it, and providing a test bed as well as an infrastructure. Diffusion tactics include extending the CII concept beyond its 'early adopters' to the wider community through recommendations for the near-term and development of a major document defining next phase activities.

Original languageEnglish (US)
Title of host publicationMEDINFO 2001 - Proceedings of the 10th World Congress on Medical Informatics
PublisherIOS Press
Pages114-117
Number of pages4
ISBN (Print)1586031945, 9781586031947
DOIs
StatePublished - Jan 1 2001
Event10th World Congress on Medical Informatics, MEDINFO 2001 - London, United Kingdom
Duration: Sep 2 2005Sep 5 2005

Publication series

NameStudies in Health Technology and Informatics
Volume84
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other10th World Congress on Medical Informatics, MEDINFO 2001
Country/TerritoryUnited Kingdom
CityLondon
Period9/2/059/5/05

Keywords

  • Cancer Care
  • Cancer Informatics Infrastructure (CII)
  • Cancer Research
  • Clinical Trials
  • Knowledge Environment

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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