Abridge
Enterprise ambient AI documentation platform that turns the clinician patient conversation into a structured, billable note inside the EHR. Named Best in KLAS for Ambient AI in both 2025 and 2026, and reported in use at more than 250 health systems including Kaiser Permanente across roughly 25,000 physicians, Mayo Clinic, Johns Hopkins, Duke Health, UPMC, and the VA. The defining technical strength is Epic depth: embedded across Haiku, Canto, and Hyperdrive with bidirectional note sync, plus an athenahealth partnership, covering more than 28 languages and 55+ specialties across outpatient, inpatient, and emergency settings. Linked Evidence maps every part of a generated note back to the source audio so a clinician can verify any sentence against what was actually said before signing. The platform has extended into structured orders, coding context for revenue cycle, and real time prior authorization through a collaboration with Highmark Health and Allegheny Health Network. Founded 2018 by Shiv Rao, a practicing cardiologist, and Zachary Lipton of Carnegie Mellon.
Capability Axes
Ambient speech to structured note generation is the entire product. Without the model there is no artifact.
Linked Evidence is the most rigorous oversight mechanism in this category: every part of a generated note maps back to the source audio, so a clinician can verify any individual sentence against what was actually said before signing. That converts review from a trust exercise into an auditable one, and it is the specific control a compliance function should be asking every scribe vendor for.
The strongest evidence position in the ambient documentation category. The largest independent peer reviewed study of ambient AI documentation was conducted with Kaiser Permanente across 1,306 clinicians and published in NEJM AI. Independently corroborated by Best in KLAS for Ambient AI in both 2025 and 2026, which is buyer survey based rather than vendor asserted. Graded on the existence, scale, and venue of the evidence; this index does not re verify the underlying study.
The deepest EHR integration in the index. Embedded natively across Epic Haiku, Canto, and Hyperdrive with bidirectional note sync rather than copy and paste or a parallel interface, plus an athenahealth partnership. Extends beyond documentation into structured orders and real time prior authorization workflows with a payer and delivery system partner.
No public pricing. Contact the vendor. Enterprise only with no self serve path and no individual plan; contracts are negotiated per health system. A third party estimate of roughly $2,500 per clinician per year is recorded in the pricing record and labeled as an estimate.
Broad and specifically stated: more than 28 languages and 55+ specialties across outpatient, inpatient, and emergency settings. Coverage is enumerated rather than implied.
Announced Deployments
Publicly announced health system deployments and partnerships. This is a record of announcements, not an assessment of deployment success or scale.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | BAA Tier | Implementation | Source |
|---|---|---|---|---|
|
Estimated $2,500 per clinician per year
$2,500 baseline
|
Enterprise contracts negotiated per health system, priced per clinician | — | — | Third Party Estimated |
ESTIMATED. The vendor publishes no pricing and offers no self serve path; enterprise contracts are negotiated per health system. The figure shown is a third party estimate of roughly $2,500 per clinician per year and has not been confirmed by the vendor. Integration depth and deployment scope move the number materially, and pilot programs typically precede large rollouts. Treat as directional only and verify in procurement.