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Deep deterministic policy gradient-based automatic negotiation framework for shared decision-making.

Xin Chen1, Ping Lu2, Yong Liu3

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Summary
This summary is machine-generated.

This study introduces AutoSDM-DDPG, an automated framework for Shared Decision-Making (SDM). It enhances complex medical negotiations by dynamically optimizing strategies for better patient and doctor outcomes.

Keywords:
AgentDeep reinforcement learningDoctor-patient negotiationFuzzy constraintShared decision making

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Medicine
  • Decision Science

Background:

  • Shared Decision-Making (SDM) is crucial for patient-centered care, improving outcomes and satisfaction.
  • Traditional SDM faces challenges with complex medical cases, evolving patient preferences, and multi-issue negotiations under uncertainty.
  • A key difficulty is modeling fuzzy preferences of both patients and clinicians to ensure efficient and equitable negotiation.

Purpose of the Study:

  • To introduce AutoSDM-DDPG, an automated SDM framework utilizing the Deep Deterministic Policy Gradient (DDPG) algorithm.
  • To dynamically optimize negotiation strategies for complex, multi-issue treatment planning.
  • To effectively model and address uncertain patient preferences in the decision-making process.

Main Methods:

  • Developed an automated SDM framework, AutoSDM-DDPG, employing an Actor-Critic network architecture.
  • Integrated fuzzy membership functions to represent and manage uncertainty in patient preferences.
  • Utilized the DDPG algorithm to optimize dynamic negotiation strategies for multidimensional demands.

Main Results:

  • AutoSDM-DDPG demonstrated superior performance compared to existing models across key indicators.
  • Achieved significant improvements in social welfare, reduced satisfaction disparity, and enhanced decision quality.
  • Enabled faster, more equitable negotiations, effectively balancing clinician and patient needs in complex scenarios.

Conclusions:

  • AutoSDM-DDPG offers an advanced, adaptable solution for automated Shared Decision-Making.
  • The framework excels in handling multi-issue negotiations and complex, fuzzy preferences.
  • It facilitates efficient and fair medical decision-making, improving both process and outcomes.