BUYER GUIDE · INTERACTIVE TOOL · 5 min

AI Scribe ROI Calculator

An honest, evidence-anchored estimator for ambient-AI-scribe savings. The peer-reviewed range — UCLA NEJM AI 9.5% time-in-note reduction, Mass General Brigham JAMA 13.4 minutes/day EHR-time reduction, Permanente 15,791 physician hours saved — sets the realistic bounds. Vendor "two hours a day" numbers go on top as the upper envelope, not the assumption.

The calculator

Adjust the assumptions to match your organization. Numbers update live; nothing leaves your browser.

Number of clinicians who would use the scribe.
Average outpatient or ambulatory visit count per clinician.
Clinical workdays per clinician per year after PTO and admin time.
Loaded hourly compensation. Used for the dollar conversion.
Conservative is peer-reviewed and statistically significant. Vendor numbers are upper-bound.
Enterprise tier roughly $84–$200; published self-serve tiers as low as $39. Set to 0 for on-prem comparison.
Per the on-prem reference architecture, $120k anchors a department-scale GPU build.
Hardware refresh + power + staff time + maintenance. Annual.
Annual hours saved
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Annual labor-time value
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Hours saved × loaded clinician hourly cost.
Cloud vendor annual cost
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Vendor fee × clinicians × 12.
Cloud net annual benefit
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Labor-time value minus vendor fee. Excludes implementation.
On-prem year-1 total cost
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Capex + first-year ops cost.
On-prem payback
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Months until labor-time value exceeds capex + ops.

What's in the numbers

The "evidence anchor" dropdown swaps the per-visit time-savings assumption between three published references. The model treats time-savings as minutes saved per clinician per day, then scales by workdays and clinicians to annual hours. Dollar value uses the loaded clinician hourly cost the operator enters — for a US physician that is typically $150–$300; for a Canadian salaried physician closer to $120–$200 depending on specialty and province.

  • checkConservative anchor. The UCLA NEJM AI three-arm RCT (n=238) measured Nabla's time-in-note at 4:30 → 3:49, a 9.5% drop (p=0.02). Applied to the visit count, that becomes ~7 minutes per clinician per day at 20 visits.
  • checkModerate anchor. Mass General Brigham's JAMA-published 2026 cohort across five academic medical centers reported 13.4 minutes/day total EHR-time reduction and 16.0 minutes/day documentation-time reduction per provider. The 13.4 figure is the conservative end of the moderate band.
  • checkVendor-reported anchor. Most vendors quote ~2 hours saved per day at full adoption. Real-world evidence (STAT News, April 2026) found this is real but modest on average — clinicians using the tool for fewer than ten encounters often do not see durable gains. Use this anchor only as the upper envelope.

The model is intentionally simple: it does not account for revenue-cycle uplift, downstream coding accuracy, patient-throughput gains, or burnout-driven retention savings — all of which are real but harder to attribute and easier to overcount. The goal is the honest floor: if this is the only saving, does the math work?

How to read the result

Three honest readings depending on what you wanted to know:

CFO QUESTION
Does the labor-time value exceed the contract cost?

Look at "Cloud net annual benefit." If positive at the moderate anchor, the program clears the floor on labor savings alone. If it goes negative when you switch to the conservative anchor, the program needs revenue-cycle or burnout-retention savings to make the math work.

CIO QUESTION
When does on-prem pay back?

The on-prem payback figure is "months of labor-time value to recover capex plus first-year ops." It does not include shared-workflow leverage — most on-prem stacks justify the build by serving discharge, handoff, document Q&A, and private search on the same hardware.

CMIO QUESTION
Is the time-savings figure plausible for our specialty?

The published numbers are averages across specialties. Specialty-matched references are the right next test — ambulatory primary care tracks closely; high-acuity inpatient, surgical, and ED workflows have different baselines.

What this calculator does not model

Three large value categories sit outside the floor calculation, each of which can flip the conclusion:

  • checkRevenue-cycle uplift. Ambient scribes drive coding accuracy (ICD-10, E/M, HCC) and prior-authorization speed. The dollar value can be larger than the labor-time saving, particularly for systems with high RCM friction. Ambience and Suki lean hardest on this surface; Commure Ambient bundles it.
  • checkBurnout-driven retention. The peer-reviewed evidence (PMC 2025 multi-system QI study) showed burnout dropping from 51.9% to 38.8% within 30 days. Replacing a single physician costs $500k–$1M+; even modest retention gains across a department can dwarf the contract cost.
  • checkPatient throughput. Several published studies report 0.2–0.5 additional visits per clinician per week. At even modest reimbursement, the throughput value alone can equal the labor-time saving in higher-volume specialties.

The right way to use the calculator is as the labor-time floor. The decision should account for the categories above but should not depend on them — if the floor is negative under the conservative anchor, the program is too marginal to ship on labor savings alone.

Where this fits in the WalledCare directory

The calculator pairs with the AI Scribes category page (the workflow evidence), the RFP-questions checklist (the procurement substance), and the on-prem reference architecture (the $120k anchor for the on-prem path). Use them together when the question is "what does this actually cost and what will it save us in our specialty, at our size?"

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Further reading