MediSkill-Evo: Process-Constrained Self-Evolution for Evidence-Grounded Clinical Interaction
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TL;DR - MediSkill-Evo is a clinical agent framework that self-evolves governed process knowledge without fine-tuning its backbone model. It improves diagnosis, treatment-intent coverage, and safety metrics by enforcing evidence provenance and clinical process constraints throughout interactions.
- Separates experience into typed banks for clinical skills, process rules, symbolic schemas, and measurement procedures, then publishes validated knowledge to a frozen test-time snapshot.
- Uses a preference harness to bind evidence to sources, reject controller-invalid actions, and rank valid actions with a safety-prioritized clinical critic.
- On 300 held-out Qwen encounters, diagnosis accuracy rose from 61.33% to 69.00%, treatment-intent coverage from 33.62% to 66.44%, and critical failures fell from 31.00% to 16.33% versus AgentClinic.
- Results are descriptive system-level evidence from fixed automatic evaluations, not causal evidence for individual components or clinical validation.
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MediSkill-Evo: Process-Constrained Self-Evolution for Evidence-Grounded Clinical Interaction
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TL;DR - MediSkill-Evo is a clinical agent framework that self-evolves governed process knowledge without fine-tuning its backbone model. It improves diagnosis, treatment-intent coverage, and safety metrics by enforcing evidence provenance and clinical process constraints throughout interactions.
- Separates experience into typed banks for clinical skills, process rules, symbolic schemas, and measurement procedures, then publishes validated knowledge to a frozen test-time snapshot.
- Uses a preference harness to bind evidence to sources, reject controller-invalid actions, and rank valid actions with a safety-prioritized clinical critic.
- On 300 held-out Qwen encounters, diagnosis accuracy rose from 61.33% to 69.00%, treatment-intent coverage from 33.62% to 66.44%, and critical failures fell from 31.00% to 16.33% versus AgentClinic.
- Results are descriptive system-level evidence from fixed automatic evaluations, not causal evidence for individual components or clinical validation.