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AJ Delgado, a postdoctoral fellow at UTSA, is transforming community health organizations by equipping them with generative AI tools like ChatGPT. Through specialized training, health workers learn to analyze complex data, enabling them to create actionable insights that address health disparities in Texas. This initiative aims to enhance grant proposals and data-driven reports, ultimately bridging health gaps in underserved communities.
The six-week training program, funded by the Institute for Integration of Medicine and Science, combines online and live sessions to teach data analysis using RStudio and ChatGPT. By empowering community health professionals with these skills, Delgado hopes to foster a more data-proficient workforce in San Antonio, enhancing evidence-based decision-making in the nonprofit sector. This project not only focuses on numbers but emphasizes the human impact of better data strategies.
• Community health workers are trained to use generative AI for data analysis.
• The initiative aims to bridge health disparities in Texas communities.
In this context, ChatGPT is used to help health workers analyze and interpret complex datasets.
The training program teaches community health professionals how to effectively analyze health data to inform decision-making.
It is utilized in the training to help health workers create dynamic reports from large datasets.
University of Texas at San Antonio 4month
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