'Super-Staffing' Health Care with Hippocratic Ai: First Live Demo of Digital Nurse Assistant

Health care is facing a massive staffing crisis. There are not enough health-care professionals to meet current and expected increases in demand. The rapid advancement of generative AI provides the opportunity to not only close the health-care staffing gap, but go beyond to enable access to infinitely scalable, high-quality care that has never existed before.

Hippocratic AI aims to achieve this level of "super-staffing" with its first safety-focused Large Language Model (LLM) for health care, with the goal of significantly improving health-care equity, access and outcomes. The company's co-founder and CEO, Munjal Shah, will provide a live demonstration of Hippocratic AI's model to the audience, with him acting as a patient conversing with a "digital nurse assistant" in a typical use case assignment.

Ultimately, generative AI could transition us to a world of health-care abundance for the first time in history. By providing a wide range of digital health-care assistants to raise the standard of care and improve health outcomes, we will have the power to significantly increase patient interaction well beyond what is possible with human staff alone.

Speakers: Stephen Klasko, Former CEO Jefferson University and Jefferson health; Munjal Shah, Hippocratic AI; Robert Lee Kilpatrick, Commonwealth Club, moderator

Attend in person or online