Notat vs Heidi
Notat vs Heidi Health: an honest, dated comparison of AI architecture and hallucination safeguards, languages, compliance, deployment, and pricing for clinical AI documentation.
Praktisk købsvejledning
Hvor Notat er stærkere
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.
Hvor Heidi kan være stærkere
Clinicians who have directly validated Heidi’s workflow in their market.
Teams that prefer Heidi’s current templates, pricing, or UX after a live trial.
Epic og EHR-match
Heidi is strongest when Heidi’s current public documentation and regional availability match the buyer’s exact requirements. 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.
Sprog og compliance-match
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.
Anbefaling
Evaluate Heidi directly against your region, language, compliance, and EHR needs. Choose Notat when facts-first generation, visible raw context, 99+ spoken-language capture, and partial Epic support without lock-in are decisive.
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.
Heidi
Heidi Health is an AI scribe used by clinicians in several markets. We have not yet completed sourced research on Heidi's architecture, languages, compliance, and deployment options; unverified cells below are marked "Not publicly documented".
Sammenligning af funktioner
Konkurrentens celler indeholder datoen for, hvornår de sidst blev verificeret fra offentlige kilder. Alt hvad vi ikke kunne verificere er markeret som "Ikke offentligt dokumenteret" — aldrig gættet.
AI architecture & hallucination safeguards
Facts-first generation (hallucination safeguard)
Notat
Ja
FactsContext™ (patent pending): documentation is generated from extracted clinical facts, not raw transcripts
Heidi
Ikke offentligt dokumenteret
Raw clinical facts shown to the clinician
Notat
Ja
Raw extracted medical facts are shown to the clinician to inspect, verify, and reuse
Heidi
Ikke offentligt dokumenteret
Features
Ambient visit documentation
Notat
Ja
Ambient capture during the visit — no dictation required
Heidi
Ja
AI scribe
pr. 2026-07-01
Medical coding suggestions
Notat
Ja
ICD-10 and 9 other coding systems, with supporting evidence excerpts
Heidi
Ikke offentligt dokumenteret
Native iPhone, iPad & Mac apps
Notat
Ja
Native iPhone, iPad, and Mac apps plus web
Heidi
Ikke offentligt dokumenteret
Languages
Multilingual & cross-language documentation
Notat
Ja
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
Heidi
Ikke offentligt dokumenteret
Compliance & data handling
GDPR-native / EU hosting
Notat
Ja
GDPR-native, EU/Norway hosting
Heidi
Ikke offentligt dokumenteret
HIPAA / BAA
Notat
Ja
HIPAA-compliant; BAA available
Heidi
Ikke offentligt dokumenteret
Zero audio retention
Notat
Ja
Zero audio retention — processed and deleted
Heidi
Ikke offentligt dokumenteret
Deployment
Epic / EHR support
Notat
Delvis
Epic is supported through the same EHR integration layer as other records; Notat is not Epic-only or dependent on Epic
Heidi
Ikke offentligt dokumenteret
Pricing & getting started
Self-serve free trial
Notat
Ja
14 days free, no credit card, self-serve start
Heidi
Ikke offentligt dokumenteret
Hvem bør vælge hvad?
Vælg Notat, hvis…
You want facts-first generation with the raw clinical facts visible
You need multilingual documentation, EU hosting, or HIPAA with BAA
Vælg Heidi, hvis…
Evaluate Heidi directly against your requirements — see their documentation for current capabilities
Ofte stillede spørgsmål
How does Notat's approach to hallucinations differ from Heidi?
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 Heidi'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 Heidi 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.
Fortsæt evalueringen
FactsContext™
Se hvorfor Notat udtrækker fakta først fremfor at skrive direkte fra transskriptioner.
Åben
Evalueringsmetode
Gennemse den transparente metodik for hallucinationer og eksempler.
Åben
Flersproget dikteringsassistent
99+ talte sprog og 15 oversatte produktsprog.
Åben
ICD-10 hub
Se kodningsforslag med evidens og diagnosespecifikke vejledninger.
Åben
Se fakta bag dit næste notat.
Den hurtigste måde at sammenligne på er at prøve det: optag en konsultation, se FactsContext™ udtrække de kliniske fakta, og læs et notat som du kan verificere linje for linje.
Prøv Notat gratis