L'IA clinique ancrée dans les faits — pas dans les hallucinations.
La plupart des scribes IA rédigent des notes directement à partir d'une transcription en espérant que le modèle n'improvise pas. Le moteur breveté de Notat, FactsContext™, comprend d'abord la rencontre : il extrait des faits cliniques structurés, génère la documentation à partir de ces faits, et vous présente les faits bruts pour que vous puissiez en faire ce que vous voulez. Il fonctionne dans un contexte de soins multilingues réels : une capture vocale dans plus de 99 langues et un produit traduit en 15 langues.
Comprendre avant d'écrire
FactsContext™ sépare la compréhension de l'écriture. Cette séparation est ce qui rend la documentation fiable — et ce qui rend possible chaque capacité en aval.
1. Conversation
The encounter happens naturally. Notat listens ambiently — no dictation, no prompts, no screens between you and the patient.
2. Clinical facts
FactsContext™ extracts structured clinical facts from the conversation: symptoms, findings, medications, decisions, plans. Each fact is anchored to what was actually said.
3. Documentation
The note is generated from the extracted facts — never straight from a raw transcript. If a statement isn’t supported by a fact, it doesn’t belong in the note.
4. Review
You see the raw facts next to the note. Verify any sentence against its source, edit what you want, and sign with confidence. The clinician always remains in control.
Transparence radicale : vous voyez les faits bruts
La confiance n'est pas une promesse — c'est quelque chose que vous pouvez vérifier. Notat expose le contexte médical structuré derrière chaque note, de sorte que la question « d'où vient cette phrase ? » trouve toujours une réponse.
The facts are yours
Notat shows you the raw extracted medical facts from every encounter — not just the polished note. Inspect them, verify the note against them, or reuse them however you please.
Every sentence is traceable
Because documentation is generated from structured facts, every statement in the note traces back to something that actually happened in the encounter.
Nothing invented
Transcript-direct AI fills gaps with plausible-sounding text. FactsContext™ is designed to reduce unsupported statements by only writing from verified clinical facts.
Tout est bâti sur une compréhension clinique unique
Comme FactsContext™ produit des faits structurés — et pas seulement une note — la même compréhension de la rencontre alimente chaque capacité de la plateforme.
Clinical notes
SOAP, H&P, progress notes — written from facts in your style.
ICD-10 coding
Code recommendations with the supporting evidence excerpt attached.
Referral letters
Generated from the same clinical understanding, not re-dictated.
Magic Edit
Rewrite, translate, or restructure — the facts stay the source of truth.
Patient instructions
Plain-language follow-up built from what was actually decided.
Evidence answers
Clinical questions answered in the context of the encounter facts.
Valider l'architecture
FactsContext™ relie la méthodologie de preuve, les comparaisons de fournisseurs, les preuves ICD-10 et les flux de travail multilingues à une architecture axée avant tout sur les faits.
Clinical AI evaluation
See the transparent methodology Notat uses to evaluate unsupported statements, fact coverage, and correction burden.
Ouvert
Compare AI scribes
Review dated vendor comparisons across hallucination safeguards, languages, compliance, and EHR fit.
Ouvert
ICD-10 evidence
Explore condition guides and code suggestions that attach evidence excerpts to recommended codes.
Ouvert
Multilingual scribe
See 99+ spoken-language capture and translated workflows for cross-language care.
Ouvert
Foire aux questions
What is AI hallucination in healthcare documentation?
Hallucination is when an AI writes plausible-sounding statements that were never said or observed — an invented medication dose, a symptom the patient never reported, a plan that was never discussed. In clinical documentation, unsupported statements are a patient-safety and legal problem, not just a quality problem.
How does FactsContext™ reduce hallucinations?
Most AI scribes generate notes directly from a transcript, which lets the language model improvise. Notat’s patent-pending FactsContext™ engine works in two distinct stages: it first extracts structured clinical facts from the encounter, then generates documentation only from those facts. Statements without a supporting fact are designed not to appear in the note.
Can I see the facts behind my note?
Yes. Notat shows you the raw extracted medical facts alongside the generated note. You can verify any sentence against its source facts before signing, and reuse the facts for coding, referrals, or anything else.
Does the clinician still review the note?
Always. FactsContext™ makes review faster and safer because you can check the note against structured facts instead of re-listening or guessing — but you review and sign every note. The AI does the writing; you do the medicine.
Does FactsContext™ work in my language?
Yes. 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. The conversation, the extracted facts, and the final documentation can each be in different languages, including cross-language visits where the patient and the record don’t share a language.
Visualisez les faits derrière votre prochaine note.
Enregistrez une consultation, regardez FactsContext™ extraire les faits cliniques, et lisez une note que vous pouvez vérifier ligne par ligne. Vous examinez et signez chaque note — Notat rend simplement cela incroyablement facile.
Essayer Notat gratuitement