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AI-Supported Shared Decision-Making (AI-SDM): Conceptual Framework.

Mohammed As'ad1, Nawarh Faran1, Hala Joharji2

  • 1Corporate Quality & Patient Safety, Dr Sulaiman Al Habib Medical Group, Olaya Street, Riyadh, 12214, Saudi Arabia, 966 920066666.

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Summary
This summary is machine-generated.

Artificial intelligence-supported shared decision-making (AI-SDM) enhances patient care by providing clinically meaningful AI reasoning, not just technical transparency. This framework supports patient autonomy and improves healthcare decisions through tailored explanations.

Keywords:
AI reasoningartificial intelligenceclinical decision supportgenerative AIpatient-centered careshared decision-making

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Area of Science:

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

Background:

  • Shared decision-making (SDM) is crucial for patient-centered care.
  • Current artificial intelligence (AI) systems often lack clinically meaningful reasoning, hindering effective SDM.
  • AI explainability methods focus on technical transparency, not the 'why' needed for patient-clinician dialogue.

Purpose of the Study:

  • Introduce a conceptual framework, artificial intelligence-supported shared decision-making (AI-SDM).
  • Integrate AI-based reasoning into SDM to enhance care quality and preserve patient autonomy.
  • Bridge the gap between AI technical transparency and clinically meaningful explanations.

Main Methods:

  • AI-SDM is a structured, multimodel framework.
  • Synthesizes predictive modeling, evidence-based recommendations, and generative AI.
  • Prioritizes tailored, narrative justifications over conventional AI explainability.

Main Results:

  • The framework transforms raw algorithmic data into actionable insights.
  • Facilitates an iterative, triadic deliberation process (providers, patients, AI).
  • Illustrates AI-SDM application in a hypothetical stroke management scenario.

Conclusions:

  • AI-SDM enhances SDM by providing context-rich, clinically meaningful AI reasoning.
  • Supports informed decision-making without supplanting human judgment.
  • Promotes patient autonomy and improves healthcare quality through integrated AI support.