OpenAI and Penda Health’s study of 40,000 patient visits showed that a ChatGPT-powered copilot reduced diagnostic errors by 16% and treatment errors by 13% in Kenyan clinics, with even greater impact on safety-critical cases. At the same time, our GenAI–ELHS solution is enabling early detection of complex and rare diseases in inpatient care. Building on our work published in Nature, JAMA, and JAMIA, we now offer a validated, customizable, and continuously learning GenAI–ELHS platform to help clinical teams accelerate adoption and generate real-world evidence for GenAI in healthcare.
We are excited to share that ELHS Institute’s GenAI-ELHS Solution has been selected as a winner in the recent global competition, Transforming Cancer Navigation with Open Data & APIs Challenge, sponsored by the Robert Wood Johnson Foundation and AcademyHealth. We are proud that our innovations in democratizing generative AI (GenAI) and Learning Health Systems (LHS) to transform predictive health care have been recognized by leading organizations in healthcare.
The first in a series of free practical training webinars designed to teach doctors, medical students, and healthcare professionals how to quickly start using their own LLM copilots for healthcare. [In Chinese]