Clinical systems · Ambient scribe (SMB)
Freed
Freed is an ambient AI scribe built for independent and small-group ambulatory clinics. It turns the visit conversation into editable notes clinicians can move into their EHR without waiting on an enterprise ambient program. It is not a health-system Epic ambient standard.
Strong fit
- Independent and small-group ambulatory clinics that want ambient notes without an enterprise ambient program
- Clinicians measuring after-hours charting time and note edit rate on a short pilot
- Groups that can live with clinician review of every AI draft
Weak fit
- Health systems standardizing one ambient vendor across Epic specialties
- Buyers who expect zero clinician review of generated notes
- Organizations that need deep specialty note models before a first pilot
Bottom line
Freed earns a Recommend for ambulatory groups that want ambient documentation without waiting for a health-system ambient stack. Outcomes look strongest when clinics track edit rate and after-hours charting instead of demo minutes. Product fit is clearer for SMB ambulatory than for multi-hospital Epic programs, where Abridge and Ambience still dominate buyer shortlists. Implementation is lighter than enterprise ambient packaging, which is part of the appeal. Pricing is more approachable than flagship health-system deals, though you still model clinician volume carefully. Score reflects solid outcomes and product marks for the SMB lane, with the usual ambient review burden left explicit.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Ambient scribes for small ambulatory groups are judged by whether clinicians stop rebuilding notes at night, not by how polished the demo sounds. Freed sits in that SMB lane: faster to try than a health-system ambient program, with less Epic packaging theater.
Buyers who succeed treat the first months as a measured pilot. They pick a few specialties, track edit rate, and keep clinician review mandatory. Groups that skip those basics often blame the model when the real failure was rollout discipline.
Where Freed is a weaker fit: multi-hospital RFPs that need one ambient standard across Epic, and clinics that want notes to ship without human review. On our clinical-systems board it scores above Canvas and Elation on ambient-specific outcomes, while staying below Abridge's enterprise ambient mark in the adjacent imaging-AI station.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Freed | 8.0 | 7.6 |
| Abridge | 8.4 | 7.8 |
| Ambience | 7.6 | 7.3 |
| Nabla | 7.6 | 7.2 |
Pricing
| Item | Detail |
|---|---|
| Model | Subscription oriented to clinicians or encounters; packaging is simpler than enterprise ambient RFPs. |
| What usually drives cost | Clinician count, specialty mix, and any EHR write-back work beyond the base plan. |
| What to ask in diligence | Modeled monthly cost at your clinician count, with edit-rate success criteria before you expand specialties. |
| Published pricing | Public list price: not published as a durable rate card for every plan. Expect a custom quote; confirm total cost at your clinician volume. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Freed to function | |
| A supported EHR path for note write-back or paste workflow | Without a chart path, ambient drafts stay outside the note and clinicians rebuild anyway. |
| Clinicians willing to review every AI draft | Ambient tools fail when buyers expect zero human review. |
| A short specialty or clinic pilot plan | Turning on every clinician at once hides which note models hold up. |
| IT time for SSO, devices, and packaging | Mic and connector work sits behind other projects if you do not reserve slots. |
| A named clinical owner for edit-rate targets | Pilots stall when no one owns quality gates. |
| What will maximize your value | |
| Track note edit rate and after-hours charting by clinic | Minutes-saved claims only mean something when you measure rebuild work. |
| Keep review mandatory through the first steady months | Skipping review trains bad habits and compliance risk. |
| Pause expansion when edit rates stay high | Forcing more clinics before quality stabilizes erodes trust. |
| Coach peers on when to rewrite vs accept | Peer habits decide whether ambient sticks. |
| Set mic and room connectivity standards early | Floor logistics problems look like model failures in dashboards. |
| Deal-breakers | |
| Leadership expects ambient notes to ship without clinician review. | |
| Your EHR path is unsupported and write-back is promised with no date. | |
| You need a single Epic-enterprise ambient standard across many specialties on day one. | |
| No clinical owner will set edit-rate targets for the pilot. | |
| IT cannot prioritize packaging for the next quarter. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract signed → kickoff | 1–4 weeks (security review, pilot clinic selection, SSO contacts) |
| 2 | Kickoff → first live workflow | 4–10 weeks for a first ambulatory pilot on a supported path |
| 3 | First live workflow → steady value | 2–4 months of edit-rate tuning before broader clinic expansion |
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category actually buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.