Navigating the appeals process for denied medical insurance coverage can be overwhelming for patients already dealing with health concerns. Claimable’s innovative use of Generative AI, powered by Retrieval-Augmented Generation (RAG), is transforming this traditionally frustrating and time-consuming process into one that is faster, easier, and more effective for patients.

In this session, we’ll explore how Claimable designed a system that empowers patients to appeal denials with all relevant evidence seamlessly integrated, ensuring their cases are presented clearly and effectively. By automating the tedious work of gathering and organizing data, Claimable’s AI solution enables patients to focus on their well-being instead of navigating bureaucracy.

Attendees will gain insights into the technology behind this system, including the decisions that led to adopting RAG, the challenges of tailoring AI to a highly sensitive and regulated domain, and the real-world impact this solution is making on patients’ lives.