AI is everywhere in clinical documentation integrity (CDI), but outcomes haven’t always kept pace with adoption. The question is no longer whether organizations have AI, it’s whether their systems demonstrate clinical intelligence—respecting clinical judgment, applying context appropriately, and supporting accurate decisions at the right moment in the workflow.

In this session, Senior Vice President of Product Management Kaltrina Berisha and Clinical Performance Specialist Courtney Rulon break down the differences between automation, AI, and GenAI, and why those distinctions matter in real clinical environments. Through a live demonstration in VISION Clinical Validation Technology®, we’ll show how a multi-layer AI strategy brings together rules‑based logic, machine learning prioritization, and GenAI insights to support pre‑bill clinical validation, precise case selection, and clinically sound recommendations without overwhelming reviewers or disrupting established CDI workflows.
 

This is not about replacing expertise. It’s about designing technology that works with clinicians and CDI teams, not around them. Attendees will see first-hand how clinically intelligent systems can improve chart review accuracy, surface the right cases earlier, and deliver meaningful cost savings and revenue integrity as a natural outcome of stronger documentation.

Key Takeaways:

• Learn why AI is everywhere, but true clinical intelligence depends on how automation, AI, and GenAI are designed, layered, and applied, not just whether the technology exists.
• Discover how high precision pre‑bill validation, combined with the right timing, can drive better outcomes than high‑volume concurrent review by surfacing the right cases earlier and reducing rework.
• Understand how clinically intelligent systems strengthen documentation, so that cost savings and revenue integrity are outcomes of stronger documentation, not automation alone.