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Evaluating Completeness of a Radiology Glossary Using Iterative Refinement.

Peter Y W Chan1, Charles E Kahn2

  • 1Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.

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|October 10, 2018
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Summary

This study refined a radiology glossary to improve patient understanding of reports. An iterative method found the glossary became highly complete after reviewing 500-1000 reports, with few new terms identified.

Keywords:
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Area of Science:

  • Medical Informatics
  • Radiology
  • Health Literacy

Background:

  • Patient comprehension of radiology reports is often limited by complex terminology.
  • Existing lay-language glossaries have been assessed for coverage and readability, but not completeness.
  • A comprehensive glossary is crucial for empowering patients with information from their imaging studies.

Purpose of the Study:

  • To develop and evaluate an iterative method for assessing and enhancing the completeness of a lay-language radiology glossary.
  • To determine the number of radiology reports required to adequately measure glossary completeness.
  • To test the hypothesis that glossary refinement would reduce the number of unidentified terms to less than one per report.

Main Methods:

  • An iterative sampling approach was used, analyzing 1000 radiology reports in 10 cohorts of 100.
  • Two investigators identified terms absent from the glossary in each cohort.
  • New terms were added to the glossary, improving its completeness for subsequent cohorts.

Main Results:

  • The iterative refinement process significantly reduced the addition of new terms over time (288.0 vs. 66.0 per 100 reports, p < .01).
  • After reviewing 500 reports, fewer than one new term per report was identified.
  • The study demonstrated that 500 to 1000 reports are sufficient to assess glossary completeness.

Conclusions:

  • An iterative method effectively measures and improves the completeness of radiology glossaries.
  • The evaluated glossary achieved a high level of completeness after iterative refinement.
  • This approach ensures lay-language glossaries accurately reflect the vocabulary used in radiology reports, enhancing patient understanding.