Every health system has the same gap. The work care teams do each day doesn't always fully make it into the final chart, and the system pays for it twice: in revenue that never gets billed, and in patient severity that looks milder on paper than it was in reality.
Oregon Health & Science University decided to close that gap before the claim goes out instead of chasing it afterward. Rather than adding reviewers or stretching hours, OHSU brought clinical AI into its prebill review process to help its teams review every chart with greater clinical visibility.
In this session, hear directly from OHSU leaders on how they deployed clinical AI across CDI, coding, and physician workflows, what it changed for revenue and quality, and what other health systems can learn from their approach.
You'll walk away with:
- What clinical AI is actually worth in prebill revenue cycle workflows
- How OHSU reviews every chart before billing without adding headcount or slowing the revenue cycle
- How OHSU earned buy-in across CDI, coding, and physician teams — and what other health systems can learn from the rollout
