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Leveraging AI for Enhancing Antimicrobial Stewardship Adherence and Usability in Low- and Middle-Income Countries (LMICs)

Hugo Morales of Munai Health in Brazil will integrate OpenAI's ChatGPT-4 and other Large Language Models (LLMs) with Munai's Clinical Intelligence platform to help frontline healthcare providers adhere to guidelines for antimicrobial therapy and reduce antimicrobial resistance. Antibiotic-resistant bacteria cause over 20% of infections in Brazil. However, the antimicrobial stewardship programs designed to address this consist of complex protocols and there is little training for health workers in low-resource settings. The Munai platform incorporates machine learning into an application and web interface that is currently connected to 29 hospitals and hosts data from over 12 million medical encounters. They will incorporate conversational AI tools into the platform to enhance accessibility and usability. They will then convert institutional antimicrobial therapy protocols into a machine-readable format and incorporate patient data to allow for more personalized responses. The LLM will be evaluated by a prospective study engaging 20 physicians in a two-part simulated clinical trial.

Grant ID
INV-062579
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Funding Amount (in original currency)
85572.00
Funding Currency
USD
Funding Amount (in USD)
85572.00
Project Type
Project Primary Sector
Funding Date Range
-
Funding Total (In US dollars)
85572.00
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False