Realizing AI's Potential to Reduce Clinician Burnout Requires More Evidence and Thoughtful Implementation
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AI has potential to reduce clinician burnout by automating administrative tasks, but more evidence needed to realize this goal.
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Studies should evaluate AI's impact on efficiency, effectiveness, equity to build needed evidence base.
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AI risks exacerbating inequities; studies should include diverse populations and settings.
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Guardrails like ethics code can balance innovation and safety as AI advances rapidly.
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Key challenges include algorithmic bias, regulating generative AI, handling reinterpretation of old data.
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