A look at how Oscar developed an AI model to create a structured call intent taxonomy and to classify member calls, uncover painpoints, and improve the member experience.

At Oscar, AI is helping unlock powerful new ways to understand and extract data from provider contracts.

Medical records aren’t just words—they’re images, tables, and non-standard layouts that AI models can struggle to process. That’s why multimodal models, which handle text and images together, are changing the game.

Digital health interventions show promise in managing diabetes, but their high costs challenge their value, pointing to a need for more personalized and cost-effective solutions.

With a recent initiative, Oscar is showing how AI can help personalize how we communicate with members.

We recently wrapped up our latest Hackathon –– an event that brought together Oscar employees from various teams to brainstorm new AI use cases and explore how our tech can enhance the healthcare experience for our members, providers, and brokers.

Research on AI is moving unpredictably fast. Though the use of AI holds great potential in the healthcare space to improve affordability, efficiencies and even outcomes, the stakes are inherently higher in use cases that involve patient care.

Yesterday, OpenAI dropped a preview of a new series of generative models focused on reasoning, dubbed “OpenAI o1.” Our initial observations are that the “o1-preview” model is more autonomous in generating a set of steps to solve a problem, more precise, and able to handle more complex tasks with higher consistency in output.