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Measuring the Behavioral Effects of Intraocular Scatter
05:10

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Published on: February 18, 2021

Exceptions handling within GLARE clinical guideline framework.

Giorgio Leonardi1, Alessio Bottrighi, Gabriele Galliani

  • 1DiSIT, Univ. Piemonte Orientale A. Avogadro, Alessandria, Italy.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 11, 2013
PubMed
Summary
This summary is machine-generated.

This study enhances the GLARE system to effectively manage unexpected exceptions during computerized clinical guideline (CIG) execution. This ensures better decision-making support for practitioners and patients when unique patient situations arise.

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Last Updated: May 15, 2026

Measuring the Behavioral Effects of Intraocular Scatter
05:10

Measuring the Behavioral Effects of Intraocular Scatter

Published on: February 18, 2021

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Clinical Decision Support Systems

Background:

  • Computerized clinical guidelines (CIGs) are essential tools for aiding healthcare professionals and patients in decision-making.
  • A significant challenge in CIG implementation is handling unforeseen patient-specific circumstances, termed exceptions.
  • Existing software systems often lack robust mechanisms for addressing these exceptions during guideline execution.

Purpose of the Study:

  • To present an extension of the GLARE system designed to effectively manage exceptions within computerized clinical guidelines.
  • To address the limitations of current systems in handling unpredictable events during CIG execution.
  • To improve the reliability and applicability of CIGs in real-world clinical scenarios.

Main Methods:

  • The paper details modifications and extensions made to the GLARE system architecture.
  • The focus is on developing a framework capable of detecting and managing exceptions during CIG processing.
  • The methodology involves integrating exception-handling capabilities into the existing guideline execution engine.

Main Results:

  • The extended GLARE system demonstrates the ability to properly and immediately treat exceptions encountered during CIG execution.
  • The system provides a more comprehensive approach to guideline execution by incorporating dynamic exception management.
  • This enhancement allows for more accurate and context-aware clinical decision support.

Conclusions:

  • The GLARE system's extension offers a viable solution for managing exceptions in computerized clinical guidelines.
  • This advancement is crucial for increasing the practical adoption and effectiveness of CIGs in diverse clinical settings.
  • The improved system supports more resilient and adaptive clinical decision-making processes.