clinical AI

HIMSS President and CEO Hal Wolf, at the HIMSS AI Leadership Strategy Summit in Chicago, discusses how AI is ushering new frontiers around supply chain, knowledge management and patient engagement.

AI deployment in healthcare lags due to data security requirements and patient safety risks, says Ferrum Health CEO Pelu Tran, who recommends creating platforms that let providers securely plug in and swap AI tools as needed.

While smaller hospitals and FQHCs often lack the infrastructure to deploy AI, Duke's Dr. Mark Sendak says the Health AI Partnership is working to help them access AI tools that can drive efficiency and reduce administrative burden.

Cylera's Richard Staynings warns that, as many hospitals rush to bolt on AI tools, a lack of visibility into how these models operate and their vulnerabilities may jeopardize data safety and patient trust.

NYU Langone Health System's Dr. Jonah Feldman says agentic AI can strengthen patient-physician relationships by helping patients prepare discussion topics and offering ongoing support between appointments.

Dr. Ethan Goh of the Stanford ARISE Network says researchers are testing AI's ability to mirror a doctor's diagnostic thought process, which could lay the groundwork for deploying safe, trusted AI in clinical care.

Included Health President Robin Glass discusses cost-estimating tools and says that while AI alone is an amazing technology, "you've got to have a human in the loop" to validate efficacy and deliver an experience that puts some patients at ease.

Anne Snowdon, chief scientific research officer at HIMSS, says while there are many reasons why AI is more readily adopted by other sectors, the central one is that in healthcare, lives are at stake.

John Yount, chief innovation officer at FinThrive, discusses ways AI can eliminate inefficiencies and better reduce revenue leakage that typically stem from errors, delays and missed opportunities for reimbursement.

Keck Medicine of USC data scientist Yesha Patel says that the ideal AI tool implementation strategy depends on what the organization is trying to solve, whether there is in-house expertise, the long-term vision and other factors.