Organizational Governance
HIMSS President and CEO Hal Wolf and Informa Markets' Peter Hall discuss how strategies shared at the inaugural WHX Tech can help global providers tackle common digital transformation, access and equity challenges.
Marx Advisory CEO Ed Marx recommends that providers adopt 'AI concierge' models offering personalized treatment or watch AI-empowered patients bypass them for new self-service solutions that offer quicker access to care.
According to Clalit's Ran Balicer, Israel's early EHR adoption and unified payer-provider model have fueled healthcare AI breakthroughs; however, U.S. AI progress will depend on leaders' willingness to embrace new care models.
Hear from participants at the HIMSS AI Leadership Strategy Summit about their reasons for attending, including the chance to meet other healthcare leaders and learn AI best practices to apply at their organizations.
Implementing AI successfully across healthcare organizations requires strategic problem selection and risk management. HIMSS' maturity models can guide leaders on their journey to adopting the right AI solutions.
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.
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.
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.