IA clínica basada en hechos — no en alucinaciones.
La mayoría de los escribas de IA redactan notas directamente a partir de una transcripción y esperan que el modelo no improvise. El motor FactsContext™ con patente en trámite de Notat entiende primero el encuentro: extrae hechos clínicos estructurados, genera documentación a partir de esos hechos y le muestra los hechos brutos para que haga con ellos lo que desee. Funciona en la atención multilingüe real: captura hablada en más de 99 idiomas y un producto traducido en 15 idiomas.
Entiende antes de escribir
FactsContext™ separa el entendimiento de la escritura. Esa separación es lo que hace que la documentación sea confiable — y lo que hace posible cada capacidad posterior.
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.
Transparencia radical: usted ve los hechos brutos
La confianza no es una promesa, es algo que se puede verificar. Notat expone el contexto médico estructurado detrás de cada nota, para que la pregunta «¿de dónde salió esta frase?» siempre tenga una respuesta.
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.
Todo construido sobre un único entendimiento clínico
Debido a que FactsContext™ produce hechos estructurados — no solo una nota — el mismo entendimiento del encuentro impulsa cada capacidad de la plataforma.
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.
Valide la arquitectura
FactsContext™ conecta la metodología de validación, las comparaciones entre proveedores, la evidencia ICD-10 y los flujos de trabajo multilingües con la misma arquitectura basada primero en los hechos.
Clinical AI evaluation
See the transparent methodology Notat uses to evaluate unsupported statements, fact coverage, and correction burden.
Abrir
Compare AI scribes
Review dated vendor comparisons across hallucination safeguards, languages, compliance, and EHR fit.
Abrir
ICD-10 evidence
Explore condition guides and code suggestions that attach evidence excerpts to recommended codes.
Abrir
Multilingual scribe
See 99+ spoken-language capture and translated workflows for cross-language care.
Abrir
Preguntas frecuentes
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.
Vea los hechos detrás de su próxima nota.
Grabe una consulta, vea cómo FactsContext™ extrae los datos clínicos y lea una nota que puede verificar línea por línea. Usted revisa y firma cada nota; Notat simplemente hace que sea increíblemente fácil.
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