Tech2i Tralblazers at Policy2Code Demo Day at BenCon 2024
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
Navigating Medicaid and the Children’s Health Insurance Program (CHIP) is challenging due to variations in state-specific policies and eligibility criteria, leading to confusion and delays in accessing healthcare services. The goal was to simplify the application of these powerful tools without requiring specialized data science expertise. By carefully selecting the most appropriate tools and frameworks, the team successfully developed a functional and impactful application using LLM APIs. However, the limitations of LLMs, such as hallucinations, outdated information, and inaccuracies, were addressed by implementing a robust selective input process. This ensured that only clean, relevant, and current data was fed into the LLM, preventing common issues with excessive or incorrect outputs.
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