Morehouse, Mount Sinai Turn to Collaboration Platform for Rapid AI Development
Atlanta-based Morehouse School of Medicine (MSM) and the Icahn School of Medicine at Mount Sinai in New York are using collaboration software to speed up AI development and deployment. Their common goal is that AI modules can be responsibly tested and more rapidly brought to market across institutions and populations.
The medical schools are working with BeeKeeperAI’s EscrowAI platform to rapidly test AI models on their real-world, multi-modal data in chronic heart failure.
Beekeeper is the first operational deployment certified under the Coalition for Health AI (CHAI)’s assurance service provider certification process. Icahn School of Medicine at Mount Sinai is an investor in BeeKeeperAI.
“To bring healthcare AI to market, speed matters—but so does trust,” said Michael Blum, M.D., co-founder and CEO of BeeKeeperAI, in a statement. “With EscrowAI, Icahn School of Medicine and Morehouse School of Medicine can enable AI developers to securely test their models on high-value, real-world data in days—not months—while preserving patient privacy and model IP. This is how we unlock faster, scalable, and equitable innovation in healthcare.”
Blum, a cardiologist, was formerly chief digital transformation officer at UCSF in San Francisco.
MSM, Icahn School of Medicine, and BeeKeeperAI are all members of CHAI and have adopted its scorecard model for algorithm developers seeking to demonstrate real-world performance to the broader market.
Their shared goal is to accelerate the responsible development, validation, and market adoption of AI that improves clinical decision-making, reduces hospital readmissions, and ensures needs-based outcomes—particularly for patients with lower resource availability who face disproportionate risk from chronic heart failure.
The curated datasets, based on shared specifications, include clinical, demographic, and social determinants of health data—offering an opportunity to assess algorithm performance across institutions serving predominantly resource-limited populations.
BeeKeeperAI said its EscrowAI platform allows AI model testing inside a data steward’s secure environment using Trusted Execution Environments (TEEs) with confidential computing—ensuring data privacy, regulatory compliance, and protection of IP throughout the process. The company said that EscrowAI replaces lengthy data access and contracting delays with push-button, compliant testing workflows—compressing timelines and accelerating time-to-value for algorithm developers.
Developers can test and prove model performance on real world, regulated data in a SOC 2-compliant environment aligned with CHAI’s data integrity and scorecard framework, BeekeeperAI said.
“As we advance our mission to enable responsible, evidence-based AI, this is just the first of many collaborations where CHAI-certified service providers and health institutions will work together to ensure AI serves all patients,” said Brian Anderson, M.D., CEO of CHAI, in a statement. “We’re proud to see Morehouse School of Medicine, Icahn School of Medicine, and BeeKeeperAI leading the way in developing trusted AI solutions.”
“AI has the potential to transform clinical care delivery, but only if models are proven to be accurate, safe, and effective in real-world and diverse settings,” said Tanvir Kahlon M.D., M.B.A., assistant professor, Advanced Heart Failure and Transplant, Interventional Cardiology at Icahn School of Medicine at Mount Sinai, in a statement. “Our work with BeeKeeperAI and Morehouse makes that assurance possible—without compromising privacy or integrity.”
