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 … [Read more...] about Evaluating Frontline Health Workers’ Responses to Patient Inquiries With and Without Large Language Model Support in Nigeria: An Observational Study
Machine learning
Analyzing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app
The goal of this study was to document the development and validation of the web application, CHWsupervisor, while reporting its predictive accuracy. CHWsupervisor was developed as an open access, machine learning web application to predictively code instant messages exchanged between CHWs based on supervisory interaction codes. It was created using instant messages exchanged … [Read more...] about Analyzing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app