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Slide Presentation of the 2007 Annual Meeting of AHRQ


Lightweight Terminology

Text Description is below the image.
  • Infrastructure includes interfaces to
    • NCI caBIG EVS
    • UMLS through JDBC and Relational Database
    • Hooks for Common Terminology Service (CTS)
  • But we don't seem to need them
    • Knowledge master files and (trusted) data sources contribute codes, terms and synonyms.
    • We periodically run our word-indexer
      • To index words, phrases and codes
      • Context sensitive, i.e., by field
        • In case of observation value by observation code
    • User enters text (any of the synonyms),
      • Auto-completion maps to concept in the background
      • Unrecognized term stored as original text

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AHRQ Advancing Excellence in Health Care