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Related Experiment Video

Updated: Sep 1, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making.

Kaibiao Lin1,2, Yong Liu3, Ping Lu4,5

  • 1School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, 361024, China.

BMC Medical Informatics and Decision Making
|August 13, 2022
PubMed
Summary

This study introduces an intelligent framework for shared decision-making (SDM) that uses agents to negotiate patient and doctor preferences, improving efficiency and satisfaction in clinical practice.

Keywords:
AgentFuzzy constraintNegotiationShared decision-makingTreatments recommendation

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Area of Science:

  • Artificial Intelligence
  • Health Informatics
  • Decision Science

Background:

  • Current shared decision-making (SDM) practices often lack consideration for individual patient and doctor value preferences.
  • Existing methods are manual, time-consuming, and can lead to decision fatigue.

Purpose of the Study:

  • To propose an intelligent framework for preference negotiation in SDM (PN-SDM).
  • To promote SDM by providing preference information and intellectualizing the process.

Main Methods:

  • Modeled PN-SDM as distributed fuzzy constraint satisfaction problems.
  • Developed doctor and patient agents for automated negotiation.
  • Integrated a recommendation model to translate negotiation outcomes into treatment plans.

Main Results:

  • The proposed framework achieved good performance in negotiation time, rounds, and satisfaction.
  • Successfully completed multiple rounds of PN-SDM in seconds with high satisfaction.
  • Demonstrated effective simulation of preference negotiation and reduced complexity.

Conclusions:

  • The negotiation model effectively simulates preference negotiation and manages complex issues.
  • The recommendation model supports SDM by assisting in decision-making.
  • The framework offers flexibility to handle various negotiation scenarios and strategies.