Healthcare is facing a massive, global staffing crisis. The World Health Organization predicts a 10 million healthcare worker shortage by 2030, but stretched systems and underserved patients are already feeling the effects. Generative AI is the key to closing this staffing gap and ensuring more people can receive a level of care that has never existed before. With generative AI and large language models (LLM) working alongside healthcare workers of all kinds, we are looking to improve access, equity, and outcomes.

Hippocratic AI is building the industry’s first safety-focused LLM for healthcare, specifically focused on non-diagnostic, patient-facing, real-time healthcare conversation. We present Polaris — an agentic trillion-parameter constellation system with collaborative specialization and safety guardrails for human-like conversation. We will talk about the architecture, specialized training and alignment, and the first comprehensive clinician evaluation of an LLM system for healthcare with thousands of U.S. licensed nurses and hundreds of U.S. licensed physicians. We will also share industry use-cases to showcase the best and safest ways to deploy this technology, and explore what AI- and LLM-powered healthcare could look like in the future.