OscarAI Blog

In the spirit of constantly learning, we are experimenting with several AI use cases and documenting our discoveries.


Isabella Brown Isabella Brown

Oscar Claim Assistant Built On GPT-4

Behind each health insurance claim are millions of combinations of variables that take into account a mixture of rules relating to regulations, contracts, and common industry practices among other factors. When a doctor has a question about a particularly complex claim, they contact one of Oscar’s claim specialists, who interprets the claims system’s output. It’s a complex and labor intensive process for health insurers.

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Chat GPT, Post Antonio Lee Chat GPT, Post Antonio Lee

Campaign Builder Actions

GPT enables new types of automation through Campaign Builder. This allows Oscar and +Oscar clients to deliver relevant interventions and intelligently monitor for signals to better serve members’ and patients’ clinical needs.

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Isabella Brown Isabella Brown

Rating Member Services Interactions With LLMs

In our member services operations, we ask members to rate their interactions with us on member satisfaction (MSAT, general satisfaction with Oscar) and agent satisfaction (ASAT, their satisfaction with the care guide who helped them). How good is GPT-4 at estimating those two ratings from member services transcripts?

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Claims, Demo Antonio Lee Claims, Demo Antonio Lee

Claims Assistant

A bot is trained to understand system logs and PDFs, breaking down the cost of procedures and identifying how insurance logic was applied in each case.

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