Enhancing Physician Resilience to Generative AI: Multilevel Framework for Shared Authority, Verification, and Skill Preservation
By
Hongxia Pan
Jialin Liu
Siru Liu
June 24, 2026
Clinical Scorecard: Strengthening Physician Resilience in the Face of Generative AI: A Comprehensive Framework for Collaborative Authority, Validation, and Skill Maintenance
At a Glance
Category Detail
Condition Generative AI in Clinical Care
Key Mechanisms Cognitive workload shaping, clinical authority governance, organizational safety governance
Target Population Physicians using AI tools in clinical settings
Care Setting Outpatient clinics
Key Highlights
Generative AI can enhance clinical activities but poses risks to safety and professional competence. Physician resilience is essential for maintaining independent clinical judgment in AI-supported care. The framework emphasizes the need for governance that preserves physician autonomy and accountability. Cognitive workload must be managed to reduce verification burden while ensuring clinical reasoning. The framework is informed by interdisciplinary research and aims to guide implementation of safeguards.
Guideline-Based Recommendations
Diagnosis
Assess AI-generated outputs for accuracy and contextual relevance.
Management
Implement governance structures that support physician autonomy in decision-making.
Monitoring & Follow-up
Establish oversight mechanisms to evaluate AI performance and its impact on clinical judgment.
Risks
Address risks of automation bias and deskilling associated with AI use.
Patient & Prescribing Data
Patients receiving care in AI-integrated clinical environments
AI tools should complement, not replace, physician decision-making.
Clinical Best Practices
Encourage verification practices that enhance clinical reasoning. Foster communication strategies that involve patient values and preferences. Integrate AI outputs with clinical evidence to support informed decision-making.
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