Summary
AI systems have the potential to improve human health globally—to make reliable health information universally available, help clinicians deliver better care, and empower people to better understand and advocate for their health.
Large language model (LLM) performance and safety in health continue to advance. Yet adoption towards solving real-world patient and clinician challenges remains slow. To realise the potential of LLMs in health, the ecosystem will need to close the model-implementation gap—the chasm between what models can do and how they are used in practice.
To advance research on real-world implementation, OpenAI partnered with Penda Health, a primary care provider operating in Nairobi, Kenya since 2012, to conduct a novel study of Penda’s LLM-powered clinician copilot. Penda built their copilot, AI Consult, to provide clinicians with LLM-written recommendations at key points during a patient visit. AI Consult acts as a real-time safety net that activates only when there might be an error, keeping clinicians fully in control.
Read more about the study findings alongside a closer look at Penda’s successful implementation, offering the ecosystem an early template for the safe and effective use of LLMs to support clinicians.
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