A revolution is imminent in American healthcare, and “the revolution will not be televised” for passive observation. Value-based care transformation, like any other important movement, requires the active participation of all leaders on the frontlines. However, for these leaders to make the right decisions, they need to embrace innovation in order to realize the fullest potential of generative AI and predictive analytics. Through the reengineering of care delivery, we can achieve a more personalized, proactive, and efficient outcomes-based model that can ultimately transform population health.
Raphael Cohen
VP AI and Engineering
With expertise in machine learning, cloud computing, and healthcare, Raphael translates complex technical challenges into practical healthcare solutions. He’s pioneered ML platforms to drive innovations in radiology, pathology, and anesthesia while simultaneously improving operational efficiency and scale. Outside of work, he’s an avid cyclist who regularly participates in the Pan-Mass Challenge, enjoys hiking the White Mountains, and is often found playing guitar. He received a BS in Computer Science and Applied Mathematics from Brandeis University.