Preventing Mid-Cycle Revenue Leakage with Purpose-Built AI
Documentation gaps, missed utilization reviews and slow provider engagement are common — and costly — mid-cycle issues that many health systems struggle to catch in time. These inefficiencies don’t just negatively influence revenue. They slow throughput, increase denials and burden staff. And traditional tools often fall short.Genesis Healthcare System and Infirmary Health opted for a different solution. These systems are leveraging purpose-built AI to detect and close revenue gaps earlier in the care continuum.Hear from executives at both systems to learn how they’re enhancing revenue integrity, optimizing operations and supporting teams without increasing clinical burden.
Learnings include:
- Tactics to prevent revenue leakage at the documentation stage
- Why purpose-built AI delivers faster returns — and fewer tradeoffs — than legacy tools
- Real-world insights on overcoming barriers and enabling adoption
