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Related Experiment Videos

An environment for document engineering of clinical guidelines.

Gersende Georg1, Marie-Christine Jaulent

  • 1Université Paris Descartes, Faculté de Medicine, Inserm, U729, SPIM, Paris, 75006 France.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
PubMed
Summary

The G-DEE system enhances clinical guideline creation by automatically identifying structural markers like recommendations. This reduces user effort in encoding guidelines for research or decision rule generation.

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Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Clinical Guideline Development

Background:

  • Clinical guidelines are crucial for evidence-based practice but complex to create and encode.
  • Current visual interfaces for guideline encoding have limitations in automation and user efficiency.
  • Automating the identification of linguistic markers can streamline the guideline structuring process.

Purpose of the Study:

  • To introduce the G-DEE system, a document engineering environment for clinical guidelines.
  • To demonstrate G-DEE's capability in automatically identifying linguistic markers of document structure.
  • To facilitate the encoding of clinical guidelines into formats like GEM.

Main Methods:

  • The G-DEE system employs shallow parsing to identify linguistic markers (e.g., recommendations, deontic operators) in clinical guideline text.

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  • Identified markers are automatically annotated, forming an initial document structure.
  • XSL style sheets are used to transform the structured text into GEM encoding elements.
  • Main Results:

    • The system achieved 97% accuracy in marking up deontic operators and their scopes in French clinical guideline sentences.
    • G-DEE successfully identified elements such as decision variables from the processed text.
    • The system demonstrated its ability to assist in generating GEM encoding.

    Conclusions:

    • The G-DEE system effectively automates the identification of structural elements in clinical guidelines.
    • This automation simplifies the user's task in guideline encoding and structuring.
    • G-DEE supports diverse applications, including research on guideline structure and conversion to GEM format or decision rules.