Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

The sublanguage of cross-coverage.

Peter D Stetson1, Stephen B Johnson, Matthew Scotch

  • 1Departement of Medical Informatics, Columbia University, New York, NY, USA.

Proceedings. AMIA Symposium
|December 5, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Divergent poxvirus identified in a non-native black rat from Madagascar.

Virology·2026
Same author

A comparison of Fast Healthcare Interoperability Resources and Observational Medical Mutcomes Partnership electronic health record data within the All of Us Research Program.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Heterogeneity of Treatment Effects Across Nine Glucose-Lowering Drug Classes in Type 2 Diabetes: Extension of the LEGEND-T2DM Network Study.

Diabetes, obesity & metabolism·2026
Same author

Semaglutide and Neovascular Age-Related Macular Degeneration Among Adults with Type 2 Diabetes: An OHDSI Network Study.

Ophthalmology·2026
Same author

Comparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus.

Journal of the American College of Cardiology·2026
Same author

Toward AI-Powered Cancer Etiology Research.

Cancer discovery·2026

Free-text Signout notes are shorter and use more abbreviations than other medical notes. However, these Signout notes contain less ambiguous abbreviations, suggesting a unique medical sublanguage for cross-coverage.

Area of Science:

  • Medical Informatics
  • Clinical Documentation Analysis
  • Natural Language Processing

Background:

  • Clinicians use free-text Signout notes for cross-coverage in electronic health records.
  • Understanding the linguistic characteristics of Signout notes is crucial for future Natural Language Processing (NLP) applications.
  • Adverse event information within Signout notes remains largely untapped.

Purpose of the Study:

  • To compare the quantitative linguistic features of Signout notes with ambulatory clinic notes and discharge summaries.
  • To identify unique characteristics of Signout notes as a distinct medical sublanguage.
  • To inform the development of NLP tools for extracting data from cross-coverage notes.

Main Methods:

  • Quantitative comparison of note lengths and abbreviation usage.

Related Experiment Videos

  • Analysis of abbreviation ambiguity across different note types.
  • Application of Relative Entropy and Squared Chi-square Distance metrics for corpus comparison.

    • Main Results:

    • Signout notes are significantly shorter (mean 59.25 words) than ambulatory (144.11 words) and discharge notes (340.85 words).
    • Signout notes exhibit a higher percentage of abbreviations (26.88%) compared to ambulatory (20.07%) and discharge notes (3.57%).
    • Despite higher abbreviation density, Signout notes demonstrate lower abbreviation ambiguity (8.34%) than ambulatory (9.09%) and discharge notes (18.02%).

    Conclusions:

    • Signout notes represent a unique sublanguage within medical documentation.
    • The distinct linguistic properties of Signout notes have significant implications for NLP-based data extraction.
    • Future NLP projects can leverage these findings to effectively unlock adverse event information from cross-coverage notes.