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Dr. Baligh Yehia, Jefferson Health's president, says the health system will use AI to streamline scheduling, tackle revenue cycle challenges, close care gaps and give clinicians back 10 million patient hours over the next three years.

Clinician innovators across the region see the next phase of healthcare AI focusing on trust and responsible adoption after a year of rapid experimentation.

Predictions from Australia to Southeast Asia highlight where AI, telehealth, and platform consolidation are headed next.

Arintra CEO Nitesh Shroff says the company's AI-powered platform turns complex clinical documentation into explainable, compliant codes that help reduce claim denials and support improving health systems' bottom lines.

Screening rates in northern Queensland lag behind the statewide average.

Sam Davis Jr., in the second part of our interview, says meeting regularly with surgical staff and building trust in its predictive analytics helped Rush University Medical Center enhance OR efficiency and forecast surgical demand with 90% accuracy.

Sam Davis Jr. of Rush University Medical Center says adopting analytics enabled the system to align staffing, equipment and surgeon block time with real demand, delivering 12x ROI and improving patient outcomes.

According to Rom Eizenberg, Kontakt.io's chief revenue officer, hospitals in 2026 will deploy AI to track people, space and equipment and to optimize length of stay, which can help reverse losses and increase profitability.

According to Barrett Loveless, infrastructure director at the PET Imaging Institute, EDR (endpoint detection and response) tools, combined with expert monitoring, have kept the institute breach-free for a decade.

Jeff Ladner, Onspring's chief product officer, explains what healthcare leaders need to know about Medicare's six-year WISeR program, which will add new preauthorization requirements, documentation standards and appeals workflows.