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The California arm of the massive health system jumped from one to more than 50 value-based care quality contracts in eight years. It earned more than 50 quality awards in 2024 alone. And it continues to close care and disparity gaps.
Real-time decision support demands an IT network that can handle the volume and velocity of clinical data, while maintaining trust and reliability so clinicians can act on AI recommendations.
The artificial intelligence application has led to $9.3 million in claims paid that might have been denied. What's more, the tech has resulted in $871,000 in new revenue for Medicare Severity Diagnosis-Related Group payments.
A deep dive into care operating systems, the problems they aim to solve, and how they help improve workforce engagement and satisfaction, explained by Josh Clark, the Institute for Healthcare Improvement's VP of quality and safety operating systems.
The aim is to build an interconnected ecosystem of tools – AI-enabled video and analytics, two-way radio comms, mass notification technologies – to keep staff and patients safe at New York's largest health system.
Artificial intelligence has elevated the quality and efficiency of documentation, improved the completeness of that documentation and reduced charting time significantly. AI has also enabled more attentive and personalized care.
This month, companies including Oracle, Medtronic, Atropos, Elation, LeanTaas, Palantir and more released artificial intelligence and virtual reality enhancements that offer health systems a menu of efficiency tools.
"When we think of virtual care as an extension of a continuous relationship rather than a transaction, we unlock its true potential for the kids who need it most," says Dr. Patricia Hayes, chief medical officer at Imagine Pediatrics.
At the HIMSS AI in Healthcare Forum in Brooklyn next month, keynote speaker Tom Lawry will offer some no-nonsense perspective on the steps health systems need to take to make the most of their artificial intelligence investments.
Cybersecurity In Focus
Broad access to artificial intelligence has quickly evolved a new arms race in which healthcare security teams should implement AI from the ground up in their platforms and processes – and hold vendors' "feet to the fire" – to keep up with threats.
