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.
Guía práctica de compra
Donde Notat es más fuerte
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.
Donde Heidi puede ser más fuerte
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.
Ajuste con Epic y EHR
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.
Ajuste de idioma y cumplimiento
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.
Recomendación
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".
Comparación de características
Las celdas del competidor llevan la fecha en que fueron verificadas por última vez a partir de fuentes públicas. Cualquier cosa que no hayamos podido verificar se marca como "No documentado públicamente" — nunca es una suposición.
AI architecture & hallucination safeguards
Facts-first generation (hallucination safeguard)
Notat
Sí
FactsContext™ (patent pending): documentation is generated from extracted clinical facts, not raw transcripts
Heidi
No documentado públicamente
Raw clinical facts shown to the clinician
Notat
Sí
Raw extracted medical facts are shown to the clinician to inspect, verify, and reuse
Heidi
No documentado públicamente
Features
Ambient visit documentation
Notat
Sí
Ambient capture during the visit — no dictation required
Heidi
Sí
AI scribe
a partir del 2026-07-01
Medical coding suggestions
Notat
Sí
ICD-10 and 9 other coding systems, with supporting evidence excerpts
Heidi
No documentado públicamente
Native iPhone, iPad & Mac apps
Notat
Sí
Native iPhone, iPad, and Mac apps plus web
Heidi
No documentado públicamente
Languages
Multilingual & cross-language documentation
Notat
Sí
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
No documentado públicamente
Compliance & data handling
GDPR-native / EU hosting
Notat
Sí
GDPR-native, EU/Norway hosting
Heidi
No documentado públicamente
HIPAA / BAA
Notat
Sí
HIPAA-compliant; BAA available
Heidi
No documentado públicamente
Zero audio retention
Notat
Sí
Zero audio retention — processed and deleted
Heidi
No documentado públicamente
Deployment
Epic / EHR support
Notat
Parcial
Epic is supported through the same EHR integration layer as other records; Notat is not Epic-only or dependent on Epic
Heidi
No documentado públicamente
Pricing & getting started
Self-serve free trial
Notat
Sí
14 days free, no credit card, self-serve start
Heidi
No documentado públicamente
¿Quién debería elegir cada uno?
Elija Notat si…
You want facts-first generation with the raw clinical facts visible
You need multilingual documentation, EU hosting, or HIPAA with BAA
Elija Heidi si…
Evaluate Heidi directly against your requirements — see their documentation for current capabilities
Preguntas frecuentes
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.
Siga evaluando
FactsContext™
Vea por qué Notat extrae hechos primero en lugar de escribir directamente de las transcripciones.
Abierto
Método de evaluación
Revise la metodología transparente de alucinaciones y los ejemplos.
Abierto
Escriba multilingüe
Más de 99 idiomas hablados y 15 idiomas de producto traducidos.
Abierto
hub de ICD-10
Vea sugerencias de código con evidencia y guías específicas según la condición.
Abierto
Vea los hechos detrás de su próxima nota.
La forma más rápida de comparar es probarlo: grabe una consulta, observe cómo FactsContext™ extrae los hechos clínicos y lea una nota que puede verificar línea por línea.
Pruebe Notat gratis