Learn how IT leaders are working to build a frictionless enterprise.
Advances in artificial intelligence mean today’s wearables can generate meaningful insights, not just create streams of data points. That has opened new possibilities for remote monitoring — and shows promise for preventive care.
Cloud migration has been a major focus for healthcare organizations over the years, but an optimized, hybrid model is needed to support artificial intelligence initiatives.
When health systems use artificial intelligence to analyze data at the point of collection, they can act quickly to keep medicine in stock, patients on track and workers safe.
Three academic perspectives offer insights on the persistent misconceptions about artificial intelligence in healthcare.
Rising cloud complexity is forcing hospitals to adopt stronger FinOps practices and governance to align IT spending with clinical and financial priorities.
From using artificial intelligence to enhancing patient experiences, healthcare organizations are looking for ways to modernize that create efficiencies while improving care.
Many healthcare leaders have already gained experience from several AI pilots. Here’s where they stand on the technology today.
The companies will invest up to $1 billion over five years to support discovery and development powered by artificial intelligence.
Administration comprises 25% of all healthcare costs, making it a key target for automation. Organizations are using AI to support documentation, coding, scheduling and more.
Agentic AI is moving beyond automation to actively manage clinical complexity, streamline patient journeys and expand access to specialty care.
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