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Related Experiment Videos

A model for evaluating interface terminologies.

S Trent Rosenbloom1, Randolph A Miller, Kevin B Johnson

  • 1Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA trent.rosenbloom@vanderbilt.edu

Journal of the American Medical Informatics Association : JAMIA
|October 20, 2007
PubMed
Summary
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A new model evaluates clinical interface terminologies for functional utility. This framework ensures accurate data encoding and review, aiding terminology developers in improving system performance.

Area of Science:

  • Medical Informatics
  • Health Data Standards

Background:

  • Clinical interface terminologies facilitate healthcare provider and computer-based application interactions.
  • They convert free-text clinical thoughts into structured data and present encoded data accessibly.

Purpose of the Study:

  • To present a novel model for evaluating the functional utility of clinical interface terminologies.
  • To establish a consistent and principled approach for terminology assessment.

Main Methods:

  • Defined specific parameters as metrics for the evaluation model.
  • Included concept accuracy, term expressivity, semantic consistency, assertional knowledge adequacy, concept complexity, and human readability.

Main Results:

  • The fundamental metric assesses how well the terminology supports correct, complete, and efficient human data encoding or review.

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  • Examples demonstrating the model's performance in selected instances are provided.

    • Conclusions:

    • A formal evaluation model enables consistent and principled assessment of interface terminologies.
    • This model aids developers and evaluators in identifying areas for improvement in clinical interface terminologies.