Realizing AI's Potential to Reduce Clinician Burnout Requires More Evidence and Thoughtful Implementation

AI has potential to reduce clinician burnout by automating administrative tasks, but more evidence needed to realize this goal.

Studies should evaluate AI's impact on efficiency, effectiveness, equity to build needed evidence base.

AI risks exacerbating inequities; studies should include diverse populations and settings.

Guardrails like ethics code can balance innovation and safety as AI advances rapidly.

Key challenges include algorithmic bias, regulating generative AI, handling reinterpretation of old data.