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.
Guide d'achat pratique
Là où Notat est plus performant
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.
Là où DeepScribe peut être plus performant
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.
Compatibilité Epic et 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.
Compatibilité linguistique et conformité
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.
Recommandation
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".
Comparaison des fonctionnalités
Les cellules du concurrent indiquent la date de leur dernière vérification à partir de sources publiques. Tout ce que nous n'avons pas pu vérifier est marqué « Non documenté publiquement » — jamais deviné.
AI architecture & hallucination safeguards
Facts-first generation (hallucination safeguard)
Notat
Oui
FactsContext™ (patent pending): documentation is generated from extracted clinical facts, not raw transcripts
DeepScribe
Non documenté publiquement
Raw clinical facts shown to the clinician
Notat
Oui
Raw extracted medical facts are shown to the clinician to inspect, verify, and reuse
DeepScribe
Non documenté publiquement
Features
Ambient visit documentation
Notat
Oui
Ambient capture during the visit — no dictation required
DeepScribe
Oui
Ambient AI documentation
au 2026-07-01
Medical coding suggestions
Notat
Oui
ICD-10 and 9 other coding systems, with supporting evidence excerpts
DeepScribe
Non documenté publiquement
Native iPhone, iPad & Mac apps
Notat
Oui
Native iPhone, iPad, and Mac apps plus web
DeepScribe
Non documenté publiquement
Languages
Multilingual & cross-language documentation
Notat
Oui
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
Non documenté publiquement
Compliance & data handling
GDPR-native / EU hosting
Notat
Oui
GDPR-native, EU/Norway hosting
DeepScribe
Non documenté publiquement
HIPAA / BAA
Notat
Oui
HIPAA-compliant; BAA available
DeepScribe
Non documenté publiquement
Zero audio retention
Notat
Oui
Zero audio retention — processed and deleted
DeepScribe
Non documenté publiquement
Deployment
Epic / EHR support
Notat
Partielle
Epic is supported through the same EHR integration layer as other records; Notat is not Epic-only or dependent on Epic
DeepScribe
Non documenté publiquement
Pricing & getting started
Self-serve free trial
Notat
Oui
14 days free, no credit card, self-serve start
DeepScribe
Non documenté publiquement
Qui devrait choisir quoi ?
Choisissez Notat si…
You want hallucination safeguards by architecture with visible clinical facts
You need multilingual documentation or GDPR-native EU hosting
Choisissez DeepScribe si…
Evaluate DeepScribe directly against your requirements — see their documentation for current capabilities
Foire aux questions
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.
Continuer l'évaluation
FactsContext™
Découvrez pourquoi Notat extrait les faits d'abord au lieu d'écrire directement à partir des transcriptions.
Ouvrir
Méthode d'évaluation
Consultez la méthodologie et les exemples de transparence sur les hallucinations.
Ouvrir
Scribe multilingue
99+ langues parlées et 15 langues de traduction pour le produit.
Ouvrir
Hub CIM-10
Consultez les suggestions de codage avec des preuves et des guides spécifiques aux pathologies.
Ouvrir
Découvrez les faits derrière votre prochaine note.
Le moyen le plus rapide de comparer est de l'essayer : enregistrez une consultation, regardez FactsContext™ extraire les faits cliniques, et lisez une note que vous pouvez vérifier ligne par ligne.
Essayer Notat gratuitement