A complete ROI comparison of autonomous and manual coding has to cover three things. The cost you stop paying. The revenue you stop losing. The capacity you free up. We model all three across small, medium, and large practices using only conservative inputs.
01 / COSTWhat you pay today
The numbers most CFOs underestimate.
Loaded coding cost includes the obvious salary line, but also benefits, software licenses, supervisory time, and rework. When we add it up across our client base, the real loaded cost per chart in 2026 lands close to 28 dollars on outpatient charts and 64 dollars on inpatient charts.
02 / SAVEWhere AI saves money
Three line items, every time.
Lower cost per chart
AI first reduces unit cost on routine charts by 70 to 80 percent.
Faster turnaround
Note to claim drops from 3.4 days to 4 hours, releasing working capital.
Fewer denials
Real time edits cut first pass denials by 60 to 70 percent.
03 / HIDDENHidden costs of staying manual
The ones that do not show up in the budget.
- Working capital tied up in slow claims, often 1 to 2 million dollars per 100 million in revenue
- Coder burnout and turnover, replacing a senior coder costs 60 to 80 thousand dollars
- Audit risk on incomplete trails, with material exposure on outliers
- Physician time on coder queries, often 4 to 8 hours per physician per month
- Denial appeals labor, often 90 dollars per denial worked
Most CFOs underbudget the hidden costs by 30 to 40 percent. The honest model adds 18 to 24 percent to manual coding total cost of ownership.
04 / MODELThree sample ROI models
Small, medium, large. Same inputs, different scale.
05 / DECIDEHow to decide in 30 days
No analysis paralysis.
If you spend more than 30 days deciding whether to pilot, you have already decided no.