Article

A ‘Silent Trial’ Assessing the Accuracy of Large Language Models for Assisting Community Health Workers in Low-Resource Settings

2026-02-17

Abstract excerpt

Community health workers (CHWs) in low-resource settings deliver variable-quality care. This study used OpenAI’s o3 and Google’s Gemini Flash 2.5 to evaluate whether large language models (LLMs) ‘listening’ to CHW–patient interactions could generate accurate referral decisions. Across 150 participating Rwandan CHWs, 429 encounters were recorded (in Kinyarwanda) and then processed by LLMs. CHWs demonstrated high re...

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Literature Corpus work: fc437a66-5fb7-5a29-8e58-badbee825408
DOI: 10.64898/2026.02.16.26346409

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