Suzanne Staples of the THINK Tuberculosis and HIV Investigative Network (RF) NPC in South Africa and Kristina Wallengren of THINK International in Denmark will produce a toolkit that leverages ChatGPT for the analysis and interpretation of health program data in low- and middle-income countries (LMICs). Due to resource constraints, data analysis takes a back seat to diagnostics and treatments and is a scarce skill in LMICs, particularly in the public health sector. In addition, health data management is hindered by manual and fragmented electronic datasets. They will work with end-users, including program managers and decision-makers, to generate a toolkit that utilizes ChatGPT in data analysis to drive evidence-based decision-making, and aid in the early detection of disease outbreaks, initially focusing on the TB program. They will assemble the most frequent queries by various stakeholders to identify real priorities for program management and evaluate the ability of ChatGPT to analyze and interpret routine TB program data.
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