Health IT

Health systems are racing to embed AI into clinical, operational and administrative workflows — but few have a blueprint for deploying these tools responsibly and at scale. At Bon Secours Mercy Health, Roper St. Francis Healthcare and other leading systems,…

As mobile technology becomes foundational to care delivery, many health systems are expanding shared device programs — but few have a strategy to match. In this session, Wellstar Health System IT Security Manager Clay Hall will walk through the system’s…

Health system leaders want AI solutions that are safe, scalable, and proven. But too often, long-term transformation plans stall because they don’t show near-term results. This webinar shows how forward-thinking leaders are flipping that script — using low-risk, high-impact use…

Hospitals looking to grow surgical volume often hit a familiar wall: rigid block structures, inconsistent surgeon access and OR time that doesn’t match demand. Rush University Medical Center made targeted, data-driven changes — and saw real results. By re-aligning block…

As AI reshapes healthcare workflows, success will be measured in trust—and that starts with trust in the accuracy of AI-powered documentation. At Abridge, the foundation of trust AI models is in the painstaking work of rigorous scientific exploration.   Medical…

Health systems are under pressure to expand digital access, but many still rely on outdated, manual identity checks that are slow, inconsistent and prone to error. These gaps expose hospitals to HIPAA and DEA compliance risks, drive up administrative waste,…

As large language models make their way into medical coding, health systems are facing a tough reality: most models aren’t yet reliable. Coding inaccuracies, flawed HCC score capture and downstream financial risks are emerging as common concerns. In this on-demand…

With almost half of healthcare executives prioritizing data and analytics, systems are not just collecting data — they’re using it to surface cost drivers, guide investment decisions and shift enterprise mindsets. But many health systems are still stuck in reactive…

AI is no longer an emerging idea in healthcare. It’s being tested and scaled across the care continuum. But what’s actually working? This session breaks down three real-world AI use cases in healthcare that have produced measurable results. Advisory Board…

Linking de-identified datasets can unlock critical value for research and AI — but without the right safeguards, it also raises serious privacy risks. Even with private tokenization, data linkage can increase the chance of re-identification in ways many teams underestimate.…