NextGen Ambient Assist vs Sunoh.ai
Two record system native scribes aimed at the same ambulatory practice, and they disagree about how far a scribe should reach into the order. Sunoh pre fills labs, imaging, medications, referrals and follow up appointments from the conversation and claims to have been first to do it. NextGen deliberately stops short, placing the note in the chart pending provider review with codes, medications and orders offered as suggestions rather than populated. That is the most consequential difference between them, because a pre filled order is a clinical action waiting for a signature while a suggestion is a prompt. Sunoh is the more capable and the more commercially open, publishing 149 dollars per provider per month and a free trial. NextGen is the more careful. For most practices the decision is already made by which record system they run, and this comparison is only live for the small number choosing between the two platforms.
- It is more conservative where conservatism matters. Codes, medications and orders arrive as suggestions the clinician acts on, and the note is placed in the chart explicitly pending provider review, against a product that pre fills orders including medications, labs, imaging and referrals.
- The data handling statement is clearer. Conversations become temporary transcripts used only to generate the note, and documentation flows into the Enterprise record rather than persisting on the mobile device, which is a purpose limitation and a data location statement in one.
- Twenty six specialty template sets behind it in the parent platform, aimed squarely at the independent and specialty practice base NextGen already serves.
- It publishes a price and lets you try it. 149 US dollars per provider per month, expressed as roughly 1.25 dollars per visit, with a free trial requiring no contract and no credit card, against a module activated through an account representative at a negotiated rate.
- The specialty reach is the broadest of any embedded scribe here and it is enumerated rather than implied, extending past primary care into dermatology, rheumatology, behavioral health with DAP notes, dental periodontal charting and treatment plans, and vision.
- Order pre fill is real work removed rather than a suggestion to action. Labs, imaging, medications, referrals and follow up appointments arrive populated for editing, including on mobile, rather than as prompts a clinician still has to enter.
Side by Side
| Axis | N NextGen Ambient Assist |
S Sunoh.ai |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model and Technology Transparency | ||
| Clinical and Operational Evidence | ||
| AI Safety and PHI Stewardship | ||
| HIPAA and BAA Posture | ||
| Security Certifications and Trust Center | ||
| FDA and Regulatory Status | ||
| AI Governance and Bias Disclosure | ||
| EHR and Interoperability Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Setting and Specialty Coverage |
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Ambient Scribes page.
Both accuracy positions are weak in different ways. NextGen publishes a figure of over 90 percent and never defines what was measured, against what reference standard, on how many encounters or in which specialties. Sunoh publishes no accuracy figure at all, and its own pages carry inconsistent adoption claims.
Sunoh's SOC 2 attestation is asserted only on third party comparison pages, several of them published by competitors, and was not reachable in the vendor's own materials across two passes. NextGen's trust page describes the security posture of its cloud host rather than of the product. Neither vendor publishes a bias, accent or dialect performance statement.