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Dr Teresa Wong, deputy CMIO of Woodlands Hospital, explains why AI integration must support existing workflows, keep clinicians in the loop, and embed clear audit and accountability structures.
Randy Maestre, head of Industry Marketing at Zoom, outlines how the company is broadening its focus beyond virtual visits to clinical documentation, patient experience, and healthcare operations.
Hongxia Huang, VP of iMedway, explains how hospitals can eliminate duplicated work and control operational costs by consolidating AI onto a unified platform with task-matched models.
Musculoskeletal care is a specialty that has long been underserved by technology, say the chief medical officer and the CEO of Flagler Health, who describe how their platform can help.
Sean Mehra, HealthTap cofounder and CEO, says AI that remembers a patient's health history and previous interactions could enable more personalized, continuous care while posing new questions around patient privacy, safety and data security.
Early clinician involvement and easier workflows are central to building AI tools that providers will actually use, says Oracle Health chief clinical information officer Michael Draheim.
NUHS chief digital officer Peter Forbes says health systems also need clear problem statements, defined roles for AI and sponsors who can push projects into practice.
Ankit Jain, cofounder and CEO of Infinitus, discusses safeguards healthcare organizations need in place as AI agents become more autonomous and how to prevent unintended or unauthorized AI actions from affecting patient care.
Wolters Kluwer sees UpToDate Expert AI evolving towards a single interface that draws on more clinical content and, eventually, patient context, says clinical AI head Dr Sheila Bond.
CEO Dr Mohamed Ezani says organisations must first invest in preparing their people for AI, with leadership training critical to successful implementation.
Dr Tim Ferris, VP of Healthcare Practice at InterSystems, emphasises that AI is an enhancement tool rather than a standalone fix, requiring strong data interoperability and stability.
Dr. Chi Kyung Kim, CMIO at Korea University Guro Hospital, explains how real-time patient feedback helps translate strong digital foundations into empowering clinical AI applications.