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Supporting the distributed execution of clinical guidelines by multiple agents.

Alessio Bottrighi1, Luca Piovesan1, Paolo Terenziani1

  • 1DISIT, Universita' del Piemonte Orientale, Viale Teresa Michel 11, Alessandria, Italy.

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Summary

This study enhances the GLARE system to better manage clinical guidelines (GLs) by supporting agent interaction, delegation, and contextualization for improved patient care continuity. The system ensures appropriate agent roles and responsibilities for effective guideline implementation.

Keywords:
Delegation and executionDistributed execution of clinical guidelineKnowledge representationManagement of agents' qualification and capabilitiesManagement of responsibilitySupport for agent coordination

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Area of Science:

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

Background:

  • Clinical guidelines (GLs) aim to enhance patient care quality and optimize treatment.
  • Implementing GLs often involves multiple healthcare agents with diverse roles, abilities, and contexts.
  • Physician responsibility for GL application is common, but delegation and execution assignment are frequently required.

Purpose of the Study:

  • To extend the GLARE computerized GL management system.
  • To provide support for agent interaction and communication in GL application.
  • To facilitate treatment continuity, contextualization, responsibility assignment/delegation, and agent appropriateness checks.

Main Methods:

  • Extension of the GLARE system to incorporate agent interaction and communication functionalities.
  • Development of facilities for treatment continuity, contextualization, and responsibility management.
  • Validation of the approach through a practical case study.

Main Results:

  • The enhanced GLARE system effectively supports complex agent interactions in GL application.
  • The system facilitates seamless delegation of responsibilities and selection of appropriate agents.
  • Demonstrated improved management of clinical guidelines in a real-world scenario.

Conclusions:

  • The extended GLARE system offers robust support for managing multifaceted agent roles in clinical guideline implementation.
  • Improved agent interaction and communication are crucial for effective GL application and patient care.
  • The system provides a valuable tool for optimizing healthcare delivery through better guideline management.