Comparison · Last updated 2026-07-01

Notat vs DeepScribe

Notat vs DeepScribe: an honest, dated comparison of AI architecture and hallucination safeguards, languages, compliance, deployment, and pricing for clinical AI documentation.

Praktyczny przewodnik zakupowy

Gdzie Notat jest silniejszy

FactsContext™ extracts clinical facts first, writes from those facts, and shows the raw facts to the clinician for review.

Notat supports spoken capture in 99+ languages and product translation in 15 languages, with multilingual and cross-language workflows treated as core use cases.

Notat is Epic-capable without being Epic-locked, so small practices and non-Epic clinics can start without adopting an Epic-first stack.

Gdzie DeepScribe może być silniejszy

Organizations that have already validated DeepScribe in their specialty and EHR workflow.

Teams prioritizing a traditional ambient documentation rollout over a broader clinical-intelligence layer.

Dopasowanie do Epic i EHR

DeepScribe is strongest when DeepScribe’s current ambient documentation program fits the organization’s US workflow and procurement model. Notat fits teams that want EHR flexibility: Epic can be supported through the same EHR integration layer as other records, but Notat is not dependent on Epic and is lighter than Epic-first enterprise scribes.

Dopasowanie do języka i zgodność

Notat is strongest when multilingual capture, EU/GDPR posture, HIPAA with BAA, zero audio retention, and clinician-visible facts are buying criteria. Competitor language and compliance claims should be checked against current public documentation and your data-processing requirements.

Rekomendacja

Choose DeepScribe if its current ambient documentation offering fits your deployment model. Choose Notat when visible facts, multilingual capture, coding evidence, and a lighter non-Epic path matter more.

Notat

Notat is the Clinical AI Platform built on the patent-pending FactsContext™ engine: it extracts structured clinical facts from the encounter first, generates documentation from those facts — never straight from a transcript — and shows the raw facts to the clinician. Multilingual by design, Notat supports spoken capture in 99+ languages through its AssemblyAI-powered speech layer, and the product is translated in 15 languages: English, Norwegian, Danish, Swedish, Finnish, Estonian, Dutch, German, Spanish, Italian, French, Arabic, Polish, Portuguese, and Hindi. GDPR-native with EU hosting, HIPAA-compliant with BAA, Epic-capable through the same EHR integration layer as other records, and built for independent and allied-health practices as well as clinics.

DeepScribe

DeepScribe is an ambient AI documentation company. We have not yet completed sourced research on DeepScribe's architecture, languages, compliance, and deployment options; unverified cells below are marked "Not publicly documented".

Porównanie funkcji

Komórki konkurenta zawierają datę ostatniej weryfikacji na podstawie publicznych źródeł. Wszystko, czego nie mogliśmy zweryfikować, jest oznaczone jako "Nieudokumentowane publicznie" — nigdy nie zgadujemy.

AI architecture & hallucination safeguards

Facts-first generation (hallucination safeguard)

Notat

Tak

FactsContext™ (patent pending): documentation is generated from extracted clinical facts, not raw transcripts

DeepScribe

Nieudokumentowane publicznie

Raw clinical facts shown to the clinician

Notat

Tak

Raw extracted medical facts are shown to the clinician to inspect, verify, and reuse

DeepScribe

Nieudokumentowane publicznie

Features

Ambient visit documentation

Notat

Tak

Ambient capture during the visit — no dictation required

DeepScribe

Tak

Ambient AI documentation

stan na 2026-07-01

Medical coding suggestions

Notat

Tak

ICD-10 and 9 other coding systems, with supporting evidence excerpts

DeepScribe

Nieudokumentowane publicznie

Native iPhone, iPad & Mac apps

Notat

Tak

Native iPhone, iPad, and Mac apps plus web

DeepScribe

Nieudokumentowane publicznie

Languages

Multilingual & cross-language documentation

Notat

Tak

Spoken capture in 99+ languages; product translated in 15 languages: English, Norwegian, Danish, Swedish, Finnish, Estonian, Dutch, German, Spanish, Italian, French, Arabic, Polish, Portuguese, and Hindi

DeepScribe

Nieudokumentowane publicznie

Compliance & data handling

GDPR-native / EU hosting

Notat

Tak

GDPR-native, EU/Norway hosting

DeepScribe

Nieudokumentowane publicznie

HIPAA / BAA

Notat

Tak

HIPAA-compliant; BAA available

DeepScribe

Nieudokumentowane publicznie

Zero audio retention

Notat

Tak

Zero audio retention — processed and deleted

DeepScribe

Nieudokumentowane publicznie

Deployment

Epic / EHR support

Notat

Częściowe

Epic is supported through the same EHR integration layer as other records; Notat is not Epic-only or dependent on Epic

DeepScribe

Nieudokumentowane publicznie

Pricing & getting started

Self-serve free trial

Notat

Tak

14 days free, no credit card, self-serve start

DeepScribe

Nieudokumentowane publicznie

Kto powinien wybrać co?

Wybierz Notat, jeśli…

You want hallucination safeguards by architecture with visible clinical facts

You need multilingual documentation or GDPR-native EU hosting

Wybierz DeepScribe, jeśli…

Evaluate DeepScribe directly against your requirements — see their documentation for current capabilities

Często zadawane pytania

How does Notat's approach to hallucinations differ from DeepScribe?

Notat's patent-pending FactsContext™ engine extracts structured clinical facts from the encounter before generating any documentation, and only writes from those facts — the raw facts are shown to you so every sentence can be verified against its source. Most AI scribes generate notes directly from a transcript, which leaves more room for unsupported statements. Check DeepScribe's public documentation for details of their safeguards.

Do clinicians still review notes in Notat?

Always. You review and sign every note — Notat makes review faster because you can check the note against the extracted clinical facts instead of re-listening to the visit.

Is this comparison with DeepScribe objective?

We aim to be factual and fair. Every competitor claim carries a visible "as of" date and, where available, a public source. Cells we cannot verify from public documentation are marked "Not publicly documented" rather than guessed. If something is out of date, contact us and we will correct it.

Zobacz fakty ukryte za Twoją kolejną notatką.

Najszybszym sposobem na porównanie jest przetestowanie go: nagraj konsultację, zobacz jak FactsContext™ wyodrębnia fakty kliniczne i przeczytaj notatkę, którą możesz weryfikować linia po linii.

Wypróbuj Notat za darmo