Publish the baseline
Record eligible volume, current coverage, completion quality, staff effort, cost, aging, recovery behavior, and exclusions.
Plan the business case
Model the capacity and cost hiding in your AR queue.
Start with claim volume, current staff minutes, loaded hourly cost, completion rate, and expected recovery. Compare the same cohort under automation, then subtract all implementation and operating costs.
HIPAA compliantSOC 2 Type IOutcome-based
Interactive model
Use your numbers. Keep the assumptions visible.
Monthly scenario
Current follow-up labor$146,667
Modeled follow-up labor$26,667
Staff capacity released3,000 hrs
Value of released capacity$120,000
LunaBill fee at 1.5%$15,000
Modeled cash after fee$985,000
Scenario only. Released capacity is not automatically a budget saving, and cash after the fee is not automatically incremental revenue. This model excludes implementation, retained review, exception work, reversals, and the baseline collections your team would have produced.
Decision guide
Put assumptions, definitions, and exclusions in writing.
Use the calculator as a scenario model, not a promise. It estimates staff capacity and a LunaBill fee from buyer inputs; it does not predict incremental collections, denial overturns, or net financial return.
Use your own baseline
Enter monthly eligible claims, current staff minutes per claim, loaded hourly cost, and the value actually recovered by the modeled workflow.
Separate savings from cash
Released staff cost is not automatically a budget reduction, and gross collections are not automatically incremental revenue.
Validate with a pilot
Replace assumptions with observed completion, exception, staff-time, recovery, and fee data from a controlled cohort.
Practical operating model
Baseline first. Pilot second. Expand last.
A controlled decision process makes both positive and negative findings useful and prevents a pilot from becoming an unmeasured demo.
Run a controlled pilot
Use representative claims, fixed rules, explicit attribution, named human owners, and success thresholds agreed in advance.
Decide from total economics
Include the vendor, integration, governance, retained review, exceptions, rework, and opportunity cost of untouched claims.
Evidence boundary
The named result is Nutex Health.
LunaBill reports $32M+ in claim value worked in 30 days for the published Nutex cohort. That customer result is evidence to investigate, not a forecast or guarantee for another organization.
Review the source and methodologyBuyer questions
What teams ask before a pilot.
What is revenue cycle automation roi calculator?
Start with claim volume, current staff minutes, loaded hourly cost, completion rate, and expected recovery. Compare the same cohort under automation, then subtract all implementation and operating costs.
What should buyers know about use your own baseline?
Enter monthly eligible claims, current staff minutes per claim, loaded hourly cost, and the value actually recovered by the modeled workflow.
What should buyers know about separate savings from cash?
Released staff cost is not automatically a budget reduction, and gross collections are not automatically incremental revenue.
What should buyers know about validate with a pilot?
Replace assumptions with observed completion, exception, staff-time, recovery, and fee data from a controlled cohort.
How should LunaBill be evaluated for revenue cycle automation roi calculator?
Use a defined cohort from your own operation, document the baseline and allowed actions, inspect complete and failed outcomes, include human exception work, and agree on expansion criteria before the pilot begins.
Sources, authorship, and publication notes
Prepared for LunaBill from primary sources. Source review completed July 22, 2026. Product, pricing, integration, security, and customer-result statements are limited to LunaBill’s original site, public company materials, and the named Nutex case study. Suhail Parry’s operator background is corroborated by Y Combinator. Customer metrics are cohort-specific.
Test the real workflow
Bring one queue. Measure the result.
Start with your payer mix, your claims, and one clear baseline.