clinical AI
Dr. Hassan Tetteh of the Johns Hopkins Center for Digital Health and AI says that agentic AI has the potential to surpass human intelligence and change the way we work, but can also enable personalized, more patient-driven healthcare.
According to Dr. R. Ryan Sadeghian, healthcare AI thrives best on small, steady successes in areas like ambient documentation where clinician trust and workflow fit matter more than having the latest model.
As post-acute facilities struggle with fragmentation and staffing, PointClickCare's Dr. Steve Buslovich says AI tools can summarize complex patient records and assist with documentation so clinicians can focus on bedside care.
HIMSS Life Fellow and National University professor Linda Travis Macomber, RN, talks about her career in AI and how data continuity, AI-powered decision support and virtual care can drive the next wave of healthcare transformation.
Elsa, the FDA's new AI tool, promises to speed up safety reviews. ConcertAI's Jeff Elton advises developers to anticipate its insights and optimize interactions by preparing structured, contextualized data.
AI is transforming care and improving outcomes, but Richard Staynings, chief security strategist at Cylera, says that, without clear governance and federal guidance, cybersecurity, privacy and patient safety may be at risk.
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.