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Related Experiment Videos

Using patient data to retrieve health knowledge.

James J Cimino1, Mark Meyer, Nam-Ju Lee

  • 1Department of Biomedical Informatics, Columbia University, New York, New York, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
PubMed
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Searching clinical data using original terms yields ample results, but quality varies by resource. Terminology translation is difficult and produces inconsistent outcomes for information retrieval.

Area of Science:

  • Medical Informatics
  • Information Science

Background:

  • Investigating diverse terminologic approaches for clinical data retrieval.
  • Assessing the efficacy of various search strategies on online information resources.

Purpose of the Study:

  • To evaluate the effectiveness of different terminologic methods in searching online clinical data.
  • To determine the impact of term selection and translation on search result quality.

Main Methods:

  • Utilizing narrative text and coded data for searches.
  • Employing text-based, concept-based, and concept-indexed resources.
  • Comparing automated retrievals using original versus translated terms.

Main Results:

  • Automated retrieval with original terms produced abundant results.

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  • Result quality varied significantly across different information resources.
  • Terminology translation proved challenging, yielding inconsistent and often suboptimal outcomes.

    • Conclusions:

    • Current information resources facilitate automated retrieval of clinical data.
    • Achieving high-quality search results depends on the chosen terms and the specific resource.
    • Term translation is only effective in limited circumstances for clinical data searching.