HIMSS TV

While AI is an important part of healthcare modernization, SolvDat founder and CEO Rosha Pokharel says a robust data layer and strong governance are key for unlocking lasting operational and clinical gains.

Kerri Webster, RN, Children's Hospital Colorado VP and chief analytics officer, says the hospital prioritizes training staff in AI literacy to ensure that outputs are validated and the technology is used ethically.

Healthcare executives and technology experts met at the first HIMSS AI Leadership Strategy Summit in Chicago to discuss how organizations of all sizes can best leverage AI tools to drive measurable ROI and transform care delivery.

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.

As tariffs target medical devices, plastics and packaging, ArcheHealth CEO Ralph Keiser says technologies that analyze pricing data can help hospitals build evidence for renegotiating contracts and increasing reimbursement.

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.

Dr. Priyanka Agarwal, HealthEx CEO and cofounder, says the company's data management platform enables patients to view their full medical histories through TEFCA-supported Individual Access Services (IAS) requests.

Dr. Matthew Thompson, Telescope Health cofounder and CEO, says delivering virtual preventive care can reduce ER visits and hospital readmissions, save taxpayers money and improve community health outcomes.

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.