Safety of a large language model-based clinical decision support system in African primary healthcare

A new study in Nature evaluates the safety of a large language model-powered clinical decision support system deployed in African primary care settings. Researchers found that while the tool improved the quality of care, 7.8% of encounters contained potentially harmful recommendations, including incorrect dosing and inappropriate investigations, underscoring the need for stronger safeguards and bias monitoring in medical AI.