Providing post-acute services is a significant challenge for both payers and risk-bearing providers. In the 90 days following discharge from an acute care hospital, older patients are 6 times more likely to be hospitalized, 11 times more costly, and 9 times more likely to die. Given this, why is it that providers struggle to improve outcomes for this high-risk population?
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.