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As hospital margins shrink to about 2%, Michael Gao, president at Smarter Technologies, says the company's AI can find and close documentation or coding gaps to prevent revenue losses.
Frost & Sullivan's Reenita Das says that healthcare is adopting a more consumer-driven model in which patients can assemble personalized, preventive care using AI-powered tools, wearables and digital twins.
Nurses can have a conversation with the patient at the bedside and the documentation is done, which improves both the clinical and patient experience, says Dr. Steve Buslovich, CMO of Senior Care at PointClickCare.
National University professor Linda Travis Macomber reflects on 40 years of progress in AI, from early rules-based systems to today's generative AI innovation, as well as the future of connected, continuous care.
Tan Bin Ru, president of Enterprise Digital at ST Engineering, discusses the company's plan to strengthen Dubai hospitals' cybersecurity and data analytics capabilities with the technologies it uses in defence work.
Health tech companies can anticipate the logic of generative artificial intelligence using knowledge graphs, like the FDA's Elsa, when submitting product reviews, and improve the accuracy of their outputs, says Jeff Elton of ConcertAI.
Richard Staynings, professor and cybersecurity strategist, says data management basics are too often lacking, and policy regs still evolving. Whether dealing with automated decision support or adversarial deepfakes, healthcare orgs need both.
Don Woodlock with InterSystems stresses that AI must be linked to interoperable systems and patient data to deliver real impact. Aligning an organization's AI goals with interoperability mandates is key to practical AI deployment.
Ed Marx, longtime healthcare CIO, explains that with more patients using artificial intelligence on their own to help with self-diagnosis, treatment and more, health systems that don't offer innovative new services could see revenue erode.
Ran Balicer of Israel's Clalit Health Services explains why reality has not caught up to AI's promise: scaling pilots requires leadership support, clinician buy-in, cybersecurity measures and strategic alignment.
HIMSS AI Leadership Summit attendees talk about the unique conversations held there regarding the successes and challenges involved in deploying healthcare AI technology.
HIMSS digital health strategist Jill Seys talks about how successful AI adoption starts with choosing leaders who will champion the technology and engage their frontline teams to use the tools and provide feedback.