Every missed or under-documented diagnosis — malnutrition, pressure injuries, respiratory failure — costs hospitals an average of $10,000 in reimbursement per patient, while quietly inflating length of stay and readmission rates. Across a health system, these gaps compound into a significant annual revenue drain that traditional CDI tools weren't built to solve.
The problem isn't lack of effort; it's timing. Most CDI processes audit charts 24 to 48 hours after care is delivered, and by then, the clinical window has closed and physicians are fielding retrospective queries instead of focusing on patients.
This webinar explores a different approach that embeds AI directly in EHR workflows to identify missed diagnoses in real time and ensure accurate documentation before the opportunity is lost. You'll hear how one academic medical center generated $1.5 million in annualized incremental reimbursement for malnutrition alone.
Join to learn:
- Why care and coding gaps persist despite existing CDI programs — and what it's costing you
- How AI orchestrates identification, intervention and documentation in a single workflow
- What separates this approach from screening tools or single-condition point solutions
