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Medical language models to automate healthcare operations
At Latent, we're building medical language models to tackle the trillions of operational overhead weighing down healthcare. Our flagship product streamlines authorizations for life-saving drugs by analyzing EHR records and surfacing the most relevant data. We've built our product and signed enterprise contracts with some of the largest health systems in the US.
Latent Health provides AI-powered clinical reasoning to automate and accelerate medication access, focusing on streamlining prior authorization and related healthcare operations for large health systems. Their platform integrates with EHRs to perform behind-the-scenes processing that speeds therapy initiation and expands medication access.
Latent uses clinical reasoning to process electronic health record data and automate the prior authorization workflow, embedding seamless integration with existing pharmacy ecosystems and EHRs. The solution operates behind the scenes to handle heavy lifting in PA processes, enabling faster time-to-therapy and broader medication access within health systems.
Who it’s for: Health systems, pharmacies, and care networks (e.g., large hospital systems and health systems that manage prior authorizations and medication access).
Customers: Ochsner, MetroHealth
Customer case studies and testimonials from major health systems; multiple named health system partners indicating traction.
Co-founder at Latent. At Stanford, Sri investigated molecular binding patterns responsible for adaptive immunity and built deep RL robots with publications at ICML, ICLR, and Nature. He also operationalized language models for the largest financial institutions while on the founding team of Hebbia.
Formerly “FactorHealth” · why startups rename →
AI for streamlining healthcare paperwork
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