AI clinica basata sui fatti — non sulle allucinazioni.
La maggior parte degli scribi AI scrive note direttamente da una trascrizione, sperando che il modello non improvvisi. Il motore FactsContext™ di Notat, con brevetto in corso di rilascio, comprende prima l'incontro: estrae fatti clinici strutturati, genera la documentazione a partire da tali fatti e ti mostra i dati grezzi per utilizzarli come preferisci. Funziona su un'assistenza multilingue reale: cattura vocale in oltre 99 lingue e un prodotto tradotto in 15 lingue.
Comprende prima di scrivere
FactsContext™ separa la comprensione dalla scrittura. È questa distinzione a rendere la documentazione affidabile — e ciò che rende possibile ogni funzionalità successiva.
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.
Trasparenza radicale: vedi i dati grezzi
La fiducia non è una promessa — è qualcosa che puoi verificare. Notat rivela il contesto medico strutturato dietro ogni nota, così a 'da dove proviene questa frase?' c'è sempre una risposta.
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.
Tutto costruito su un'unica comprensione clinica
Poiché FactsContext™ produce dati strutturati — e non solo una semplice nota — la stessa comprensione del colloquio alimenta ogni funzionalità della piattaforma.
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.
Valida l'architettura
FactsContext™ connette la metodologia di prova, i confronti tra fornitori, le evidenze ICD-10 e i flussi di lavoro multilingue alla stessa architettura basata sui fatti.
Clinical AI evaluation
See the transparent methodology Notat uses to evaluate unsupported statements, fact coverage, and correction burden.
Aperta
Compare AI scribes
Review dated vendor comparisons across hallucination safeguards, languages, compliance, and EHR fit.
Aperta
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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Domande frequenti
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.
Vedi i fatti dietro la tua prossima nota.
Registra una consulenza, osserva FactsContext™ estrarre i dati clinici e leggi un referto che puoi verificare riga per riga. Tu revisioni e firmi ogni nota — Notat la rende semplicissima.
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