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Evaluating Frontline Health Workers’ Responses to Patient Inquiries With and Without Large Language Model Support in Nigeria: An Observational Study

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Authors: Maria Moosa, Oluwaseyi Malumi, Solomon Chinedu, Wilson Okah, Ayoposi Ogboye, Chiagozie Abiakam, Peter Onyenemerem, Imo Etuk, Nneka Mobisson

This study tested whether ChatGPT could help frontline health workers in Nigeria give better answers to patient questions. Thirty-six doctors, nurses, and community health workers responded to health questions with and without ChatGPT’s help. Clinicians and patients rated the answers. ChatGPT-assisted responses were more accurate, complete, and empathetic, and people found them more trustworthy. The results suggest that tools like ChatGPT could help improve healthcare quality in low-resource settings if used safely and responsibly.

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Resource Topic: CHW Role, Large Language Models, Machine learning, mHealth and Technology

Resource Type: Evaluation

Year: 2025

Region: Africa

Country: Nigeria

Publisher May Restrict Access: No

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