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A graphical framework for specification of clinical guidelines at multiple representation levels.

Erez Shalom1, Yuval Shahar

  • 1Medical Informatics Research Center, Department of Information Systems Engineering, Ben Gurion University, Beer Sheva 84105, Israel. {erezsh, yshahar}@bgu.ac.il

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

We developed GESHER, a graphical framework to help doctors and knowledge engineers formalize clinical guidelines for automated use. This framework enhances collaboration and allows guideline reuse across different sites.

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Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems
  • Knowledge Engineering

Background:

  • Formalizing clinical guidelines is crucial for automated application and quality assessment.
  • Converting free-text guidelines into machine-comprehensible formats presents challenges, particularly in expert-engineer collaboration.

Purpose of the Study:

  • To introduce GESHER, a graphical framework for specifying clinical guidelines at multiple representation levels.
  • To facilitate incremental and transparent specification, fostering collaboration between physicians and knowledge engineers.

Main Methods:

  • GESHER utilizes a multi-level representation architecture with tailored views for different users.
  • It supports multiple specification languages and integrates with the DeGeL digital guideline library.

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  • Temporal abstraction knowledge bases and standard medical vocabularies are employed for declarative knowledge and key term specification.

    • Main Results:

    • The GESHER framework enables smooth and transparent incremental specification of clinical guidelines.
    • It promotes extensive collaboration among various user types, including physicians and knowledge engineers.
    • The architecture supports guideline reuse across multiple sites through standardized components.

    Conclusions:

    • GESHER provides a robust graphical framework for the formalization of clinical guidelines.
    • It addresses key challenges in expert-engineer collaboration for automated clinical decision support.
    • The framework promotes interoperability and reusability of formalized clinical guidelines.