Klinisk AI grundad i fakta — inte hallucinationer.
De flesta AI-skribenter skriver anteckningar direkt från ett transkript och hoppas att modellen inte improviserar. Notats patentansökta FactsContext™-motor förstår mötet först: den extraherar strukturerade kliniska fakta, genererar dokumentation från dessa fakta, och visar dig de råa fakta som du kan använda precis som du vill. Det fungerar i verklig flerspråkig vård: talupptagning på över 99 språk och en produkt översatt till 15 språk.
Förstår innan den skriver
FactsContext™ separerar förståelse från skrivande. Den separationen är det som gör dokumentationen pålitlig — och vad som gör varje efterföljande förmåga möjlig.
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.
Radikal transparens: du ser de råa fakta
Förtroende är inte ett löfte — det är något du kan kontrollera. Notat blottlägger den strukturerade medicinska kontexten bakom varje anteckning, så att frågan ”varifrån kom denna mening?” alltid har ett svar.
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.
Allt byggt på en gemensam klinisk förståelse
Eftersom FactsContext™ producerar strukturerade fakta — inte bara en anteckning — ger samma förståelse av mötet kraft åt varje förmåga i plattformen.
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.
Validera arkitekturen
FactsContext™ kopplar samman bevismetodik, leverantörsjämförelser, ICD-10-evidens och flerspråkiga arbetsflöden till samma fakta-fokuserade arkitektur.
Clinical AI evaluation
See the transparent methodology Notat uses to evaluate unsupported statements, fact coverage, and correction burden.
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Compare AI scribes
Review dated vendor comparisons across hallucination safeguards, languages, compliance, and EHR fit.
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ICD-10 evidence
Explore condition guides and code suggestions that attach evidence excerpts to recommended codes.
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Multilingual scribe
See 99+ spoken-language capture and translated workflows for cross-language care.
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Vanliga frågor
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.
Se fakta bakom din nästa anteckning.
Spela in en konsultation, se FactsContext™ extrahera de kliniska fakta, och läs en anteckning som du kan verifiera rad för rad. Du granskar och signerar varje anteckning — Notat gör det bara trivialt enkelt.
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