Enhancing Antimicrobial Stewardship in LMICs Through AI-Driven Tools: Focusing on Conversational Agents and RAG Architecture

Antimicrobial Resistance (AMR) is not just a health crisis; it’s a ticking time bomb that threatens global health security. In Low-and Middle-Income Countries (LMICs), the situation is particularly dire. Factors such as overuse of antibiotics, lack of awareness, and inadequate healthcare infrastructure contribute to a vicious cycle of non-compliance with Antimicrobial Stewardship Programs (ASPs).

In Brazil and similar regions, the complexity of these ASPs and the scarcity of frontline healthcare support further exacerbate the crisis. This research aims to break this cycle by leveraging cutting-edge AI technologies to make ASPs more accessible and effective. This project is designed in two distinct phases:

Phase One: The first phase focuses on transforming the existing antimicrobial guidelines of the Albert Einstein Hospital into a conversational agent. This agent will be capable of providing real-time, context-aware recommendations to physicians using RAG application architecture.

Phase Two: The second phase will involve using Large Language Models (LLMs) for information retrieval within Electronic Health Records (EHRs) and automating the evaluation of guideline adherence. This talk specifically covers the first phase of the project (methodology, architecture, validations and applied results).

About the speaker

Mateus Cichelero

Analytics & AI Team Lead at Munai Health

A passionate Analytics & AI Team Lead/Machine Learning Engineer, Mateus leverages data to solve real-world challenges and drive positive change. Currently leading a team of Data Scientists, ML Engineers, and BI Specialists at Munai Health in Brazil, he works to ensure data product quality, fairness, and scalability, while implementing MLOps best practices for automation. As a Machine Learning Engineer, he develops and deploys predictive models, with experience across unsupervised/supervised learning, NLP, and exploratory analysis for new products in healthcare. Excited about the future of data and AI, Mateus is committed to harnessing their potential for positive impact on the world.



Online Event: April 2-3, 2024




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