ذكاء اصطناعي سريري مرتكز على الحقائق — لا الهلوسات.
تكتب معظم المساعدين الذكيين ملاحظاتهم مباشرة من النص المفرغ وتأمل ألا يرتجل النموذج. أما محرك ™FactsContext من Notat، الحاصل على براءة اختراع، فيفهم تفاصيل الزيارة الطبية أولاً: حيث يستخرج الحقائق السريرية المنظمة، ويولد التوثيق بناءً على تلك الحقائق، ويعرض لك الحقائق المجردة لتتعامل معها كما تشاء. كما يعمل عبر رعاية حقيقية متعددة اللغات: تسجيل صوتي بأكثر من 99 لغة، ومنتج مترجم بـ 15 لغة.
يفهم قبل أن يكتب
يفصل ™FactsContext بين الفهم والكتابة. وهذا الفصل هو ما يجعل التوثيق الطبي موثوقاً — وهو ما يجعل كل قدرة لاحقة في المنصة ممكنة.
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.
شفافية مطلقة: أنت ترى الحقائق المجردة
الثقة ليست مجرد وعد، بل هي شيء يمكنك التحقق منه. يكشف Notat السياق الطبي المنظم خلف كل ملاحظة طبية، ليكون لسؤال "من أين جاءت هذه الجملة؟" إجابة حاضرة دائماً.
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.
كل شيء مبني على فهم سريري واحد
لأن ™FactsContext ينتج حقائق منظمة — وليس مجرد ملاحظة — فإن نفس الفهم للزيارة الطبية هو ما يشغل كل قدرة في المنصة.
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.
تحقق من البنية
يربط ™FactsContext بين منهجية الإثبات، ومقارنات الموردين، وأدلة ICD-10، وسير العمل متعدد اللغات مع بنية هندسية تركز على الحقائق أولاً.
Clinical AI evaluation
See the transparent methodology Notat uses to evaluate unsupported statements, fact coverage, and correction burden.
افتح
Compare AI scribes
Review dated vendor comparisons across hallucination safeguards, languages, compliance, and EHR fit.
افتح
ICD-10 evidence
Explore condition guides and code suggestions that attach evidence excerpts to recommended codes.
افتح
Multilingual scribe
See 99+ spoken-language capture and translated workflows for cross-language care.
افتح
الأسئلة الأكثر شيوعاً
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.
شاهد الحقائق وراء ملاحظتك القادمة.
قم بتسجيل استشارة، وشاهد كيف يستخلص FactsContext™ الحقائق السريرية، واقرأ ملاحظة يمكنك التحقق منها سطراً بسطر. أنت من يراجع ويوقع كل ملاحظة — وNotat تجعل ذلك أمراً سهلاً للغاية.
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