Anterior prioritizes minimizing false approvals in its medical necessity reviews. A false approval means a patient receives unnecessary care, resulting in unwanted costs for the insurance provider.
This video explains how to build a domain-native LLM application, focusing on the importance of the system's design over model sophistication. Christopher Lovejoy, a medical doctor turned AI engineer, uses his experience at Anterior, a healthcare AI company, to illustrate the "last mile problem" and how a robust system incorporating domain expertise can significantly boost performance.