Using Propensity Score Matching to Measure Down Stream Causal Impact of an Event
Suppose a social media platform’s Ads analytics team wants to know: Does seeing a certain ad (or promoted post) cause users to convert or engage more? This causal... Read more.
Paged KV Caches for Real-Time Healthcare Payment Integrity Agents
Payment integrity teams are starting to ask a new question: can LLM agents help review healthcare claims at operational scale rather than only in pilot environments?... Read more.
Heterograph Neural Networks Plus LLMs to Expose Collusive Billing
Most billing abuse does not look dramatic when viewed one claim at a time. A single encounter may appear ordinary, a single procedure may be defensible, and... Read more.
Vertical Federated Learning for Payment Integrity Across Competing Payers
Payment integrity has a fragmentation problem: each payer sees only part of the pattern, while the most sophisticated abuse often spreads across organizational boundaries.... Read more.