- 35%Fewer preventable denials
- 28%Higher first-pass clean-claim rate
- 12Fewer days in AR
- 3xStaff productivity on claim work
The challenge: a reactive revenue cycle
Revenue leakage is rarely one failure. It is the accumulation of issues that go undetected until claims are denied: eligibility gaps, authorization mismatches, missing documentation, coding inconsistencies and payer-specific rule violations.
The organization's revenue cycle team spent most of its time reacting: chasing denials, reworking claims, handling appeals and managing aging AR. Leadership lacked clear visibility into where revenue was most at risk, which payers were unstable, and which workflows were driving rework.
- Eligibility and authorization issues found too late, after care was delivered.
- Incomplete documentation missing required elements before submission.
- Payer rule variability that manual review could not keep pace with.
- Limited denial visibility, with no way to predict which claims would deny.
The solution: OptraHEALTH Revenue Intelligence
Revenue Intelligence is an AI layer across the full revenue cycle. Instead of waiting for denials, it predicts issues before submission, recommends fixes in real time, and points teams to the work with the highest financial impact. It runs continuously from scheduling through payment.
Pre-encounter intelligence
Flags eligibility, authorization and documentation risks before the visit begins.
Coding and documentation intelligence
Finds missing clinical elements, coding gaps and compliance risks in real time.
Claims quality intelligence
Checks claims against payer rules and denial patterns before submission, then scores risk and suggests fixes.
AR and denial prevention intelligence
Prioritizes follow-up by aging risk and payer behavior, and predicts denial likelihood for high-risk claims.
Results
Deployed across the organization's sites, Revenue Intelligence cut preventable denials by 35%, lifted the first-pass clean-claim rate by 28%, reduced AR days by 12 and tripled staff productivity as teams moved from manual claim review to high-impact work.
Recovered revenue came from four sources:
- Denial prevention: 42%
- Faster AR collection: 28%
- Coding accuracy: 18%
- Documentation completeness: 12%
Revenue cycle leaders gained real-time alerts for high-risk claims, payer-specific rule validation and automated AR prioritization. Executives gained enterprise-wide visibility into leakage, trends by payer and service line, and a quantified view of what proactive workflows return, without adding headcount.