Health systems deploying this kind of executive intelligence platform typically target three numbers: a lower claims denial rate, a shorter prior authorization cycle, and less coding capacity burned on rework. Each is measurable against your own baseline, which we document in week one. The mechanisms are direct: denial patterns identified by payer and code within days instead of at month-end mean appeals get filed while they are still winnable; authorization delays classified as payer-driven versus internal mean your team fixes the ones it actually controls; documentation gaps flagged before claims submission mean coders spend their hours coding, not remediating.
Over 12 months, the return compounds in phases. Months 1-3 are recovery: denial appeals and authorization acceleration against the documented baseline. Months 4-9 shift to prevention: coding quality standards tighten and documentation templates improve, so the same problems stop recurring. By month 12, the briefing is part of standard executive cadence instead of ad-hoc report-pulling, and the analyst hours that built those reports have moved to strategy. Model it on your own payer mix, denial rate, and volumes before you believe any vendor's ROI multiple - including ours; that math only works with your own claims data. The free AI Opportunity Assessment is where that conversation starts: a directional read on where the reporting opportunity is biggest across revenue cycle, plus a phased roadmap - not a payer-mix model built for you.