All-in monthly software cost per provider

EMR comparison

The number that matters to a practice is the all-in cost per provider per month — base subscription plus the AI / ambient scribe, plus the add-ons and fees that only surface on the MSA. REV is all-inclusive and all-published: one rate-card price with the ambient scribe already in it. Incumbents pile on AI fees and extras you only discover at contract, pushing their all-in past $1,000/provider/mo.

Want the full model? The EMR / RCM deep dive → nets out revenue lost to miscoding and weak RCM to show net revenue to the practice — REV is #1 on both TCO and net.

See the coding analysis → — the primary-care E/M distribution behind REV's capture and margin.

REV all-in ≈ $595/mo. Nearest competitor all-in >$1,000/mo once AI + extras are added. Every REV cost line is on a published rate card; most competitor lines are Only on MSA — i.e. only in the Master Service Agreement: quote-based, and you only see the real number when you’re signing the contract.

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All-in software cost / provider / month

Every cell is tagged Published (on a list / rate card) vs Only on MSA (quote-based, surfaces at contract). Any competitor figure that is not publicly citable is marked est. REV is highlighted.

Published on a public rate card Only on MSA quote-based / discovered at contract est. modelled from published rates & real quotes/MSAs

Vendor	Base subscription	AI / ambient scribe	Other / hidden	All-in $/provider/mo	RCM

RCM: turn-key vs co-sourced

REV: 4.9% of collections, turn-key (Published, ~90% attach) — REV runs the full revenue cycle; the practice does not staff billing. athenahealth: 4–7% of collections, co-sourced (Only on MSA) — the rules engine scrubs claims, but the practice still has to hire its own billing coordinator to work denials and exceptions. That extra headcount is a real cost that never shows up on athena’s sticker price, and it is why a low software floor (~$140/mo) does not mean a low all-in cost.

Why REV is also more efficient

REV internal data / modeled, not audited

Lower price is only half the story. REV’s architecture does more with the same minute — the following are REV’s own modeled figures, not third-party audited.

+20%

Per-minute resource-graph scheduling

Scheduling is solved as a per-minute resource graph rather than fixed slots — ~20% more scheduling efficiency.

≥15%

A self-learning system, not digital paper-and-pencil

REV learns from every encounter and every corrected mistake, so accuracy and capture compound over time. The incumbents are digital paper-and-pencil — static, rules/template-based, with an ambient scribe bolted on at best — at least 15% less efficient than REV across what we evaluated.

∞

Every corrected mistake makes it smarter

Each correction feeds back into the models, so accuracy, capture and efficiency compound encounter after encounter — a moat no rules-based incumbent can match.

Now

Newly affordable

This approach was too costly to attempt a few years ago; the economics only recently made it buildable.

~35%

Denials prevented, not reworked

REV codes clean on the first pass and prevents most denials before the visit is closed — against a weighted denial rate of ~15.8%, the model assumes ~72% are AI-prevented. Legacy rules-based EMR+RCM tools (eClinicalWorks among them) work denials after the fact, so practices on them give up on the order of one-third (~35%) of potential RCM efficiency to denials, rework and manual A/R — before any settlement or downtime. Modeled from the denial derivation, not third-party audited.

Platform & compliance risk you inherit

Sticker price is not the only thing a practice takes on. eClinicalWorks paid a $150M+ U.S. DOJ False Claims Act settlement (2017) for falsely obtaining Meaningful Use certification — concealing that its software did not meet certification requirements — and entered a 5-year Corporate Integrity Agreement. That is compliance and platform risk that transfers to the buyer.

From our own evaluation (firsthand, not a published source): eClinicalWorks’ AI features failed during a live demo, and getting your own data back out requires opening a support case — export friction and lock-in. Net of pricing, efficiency, compliance and switching cost, these legacy EMR+RCM platforms carry a higher effective total cost of ownership than the sticker rate implies. Settlement citations are in Sources below (append ?realnames to reveal links).

Market structure — a fragmented field

The other thing a head-to-head misses: no vendor owns the small independent practice. Top 3 ~40%; a long tail of 30+ smaller vendors splits ~38%. Est. PCPs per vendor on a ~280,000 US-PCP base.

REV's plan of ~866 providers is ~0.3% of US PCPs / ~1% of the long tail — and the 2026–27 FHIR mandates push these fragmented practices to switch. Ranks 11+ are estimates (Definitive publishes only the top 10); REV is pre-launch and not shown.

Sources / our homework

Per-vendor source pointer and confidence, mirroring the comparison dataset we maintain (emr-compare-public + EMR Comparison workbook).

Disclaimer: competitor pricing is grounded in published rate cards and, where available, real vendor quotes / MSAs — for example, NextGen quoted ~$1,020/provider/mo (Jun 2026). Where neither a published rate nor a quote is available, a figure is modelled from published rates and real quotes/MSAs and labeled est. Competitor all-in ranges reflect base + AI + typical extras and will vary by volume and negotiation. REV figures are internal published pricing.