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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Published on: September 20, 2018

Using empiric semantic correlation to interpret temporal assertions in clinical texts.

George Hripcsak1, Noémie Elhadad, Yueh-Hsia Chen

  • 1Department of Biomedical Informatics, Columbia University, College of Physicians and Surgeons, 622 West 168 Street, VC-5, New York, NY 10032, USA.

Journal of the American Medical Informatics Association : JAMIA
|December 17, 2008
PubMed
Summary
This summary is machine-generated.

Uncertainty in clinical text temporal assertions, like "3 weeks ago," averages 20% deviation. Factors influencing this include event recency, numeric value size, and round numbers, impacting clinical data accuracy.

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Area of Science:

  • Clinical Informatics
  • Natural Language Processing
  • Health Data Science

Background:

  • Clinical narratives contain temporal assertions crucial for patient history.
  • Quantifying the uncertainty of these temporal expressions is vital for accurate data interpretation.

Purpose of the Study:

  • To measure the uncertainty inherent in temporal assertions within clinical texts.
  • To identify semantic and lexical factors influencing the uncertainty of these assertions.

Main Methods:

  • Extracted temporal assertions from narrative clinical reports.
  • Compared these assertions against facts from structured clinical databases for the same patients.
  • Correlated assertions and facts to determine uncertainty drivers.

Main Results:

  • The deviation between stated and actual duration averaged approximately 20% of the stated duration.
  • Assertions about events further in the past exhibited greater uncertainty.
  • Smaller numeric values (e.g., 1 month vs. 30 days) and round numbers (e.g., 10 years vs. 11 years) were associated with increased uncertainty.

Conclusions:

  • Empirically derived the semantics behind duration statements using "ago."
  • Verified intuitive understandings of how numerical values impact temporal assertion uncertainty.
  • Highlighted the need for careful interpretation of temporal expressions in clinical text analysis.