Hanwha Vision's Chris Lennon discusses how the company's AI-powered video systems can help detect aggressive patient behavior, reduce workflow bottlenecks and enable virtual care so health systems can optimize staffing and safety.

It should be "always adjunctive" to clinical processes, says Dr. Ami Bhatt, chief innovation officer at the American College of Cardiology, who sees big things for decision support, patient triage, safer nuclear imaging, patient engagement and more.

Hamad Medical Corporation's Amr Metwally says Qatar's Itqan Simulation and Innovation Center is a "wind tunnel for innovation" where health systems can validate and scale technology in a patient-free environment.

Surprisingly, researchers found no correlation between department closures and negative outcomes for patients driving greater distances, says Martin Gaynor, professor emeritus at Carnegie Mellon University.

Sam Shah, NEOM's director of health data, says a promising use case for AI in value-based care could be in patient-facing "coaching" tools to support patients in areas such as mental health or weight management.

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.

Hyland Healthcare's Michael Burke talks about how governments across the GCC are investing heavily in digital health projects, unifying patient records and emerging as a global model for interoperability and connected care.

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.

Using a point solution to scale artificial intelligence may not be effective when dealing "with every possible disease, patient or service line," and relying on one LLM could be too rigid for future coding, says Pelu Tran, Ferrum Health CEO.

HealthEx CEO Dr. Priyanka Agarwal describes how identity verification technology makes it possible for patients to go to TEFCA and get their records, and weighs in on how the industry can rapidly scale Individual Access Services.