Health IT

Disjointed scheduling policies. Manual workflows. Limited real-time data. These inefficiencies once hampered MedStar Health’s 10-hospital network — until a new, data-driven access strategy changed the trajectory. Through standardized block management, cloud-based scheduling tools and a systemwide governance model, MedStar unlocked…

Research is no longer a siloed academic exercise; it’s a strategic lever. Healthcare leaders are under increased pressure to drive value in new ways. But without the right digital infrastructure, too many initiatives stall out due to fragmented data, unclear…

University Hospitals became one of the first health systems in the U.S. to implement a whole-hospital virtual nursing program — and the results are changing how care is delivered across ED, post-op and med-surg units. Through its Connected Care Team…

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Health systems are under pressure to expand digital access, but many still rely on outdated, manual identity checks that are slow, inconsistent and prone to error.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…