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Medzy Clarity (AI Document Classifier)

de Medzy Inc

Medzy Clarity is an AI patient document parser for pharmacy and other healthcare uses

Accélérez la classification et l’extraction des documents patients avec Medzy Clarity.

  • Notre solution sécurisée aide les professionnels de la santé à réduire la paperasse et à automatiser le traitement des documents cliniques. Hébergée dans le centre de données Canada Est de Microsoft, Medzy Clarity respecte les exigences de sécurité et de conformité du Québec.
  • Nous ne stockons que les métadonnées (type de fichier, taille, horodatage, nombre de pages et jetons IA pour la facturation) — le contenu des documents n’est jamais conservé.
  • Medzy Clarity reconnaît actuellement 17 types de documents et 31 sous‑types, incluant prescriptions, profils pharmacologiques, résultats de laboratoire, formulaires RAMQ et GAP, ainsi que la conversion d’enregistrements audio en notes SOAP.
  • Intégration simple grâce à une API conviviale pour les développeurs, ou via une nouvelle interface conviviale: https://documentclassifier.medzy.ai/


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Speed up patient document classification and data extraction with Medzy Clarity.

  • Our secure solution helps healthcare professionals reduce paperwork and automate clinical document processing.
  • Hosted in Microsoft’s Canada East datacenter, Medzy Clarity complies with Québec security and privacy requirements. We store metadata only (file type, size, timestamp, page count, and AI tokens for billing) — document content is never retained.
  • Medzy Clarity currently supports 17 document types and 31 sub‑types, including prescriptions, pharmacology profiles, lab results, RAMQ and GAP forms, and audio‑to‑SOAP note conversion.
  • Easily integrate using our developer‑friendly API, or using an easy to navigate and flexible interface: https://documentclassifier.medzy.ai/login


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Release notes

  • Key features
    1. Base parser: if the document type is unknown or not currently supported by a specialized parser, certain common fields will still be extracted: document_sender, document_receiver, patient information.
    2. Parse document: if you already know the document type, you can skip the classification and use the /parse route to extract content
    3. Documentation now enumerates (dropdown) of the different document types accepted by the /parse route
  • V3.2.0 (2025-06-25)
    1. Added model benchmarking infrastructure and test suite for prescription and patient transfer documents (benchmarking results to be published soon)
    2. Consumption visibility: Added the /usage route to help you monitor your consumption
    3. Granular billing: new billing dimension classified pages (separated the OCR from the classification), reduced the OCR pricing accordingly
    4. Optimized OCR usage: used a most cost-effective OCR for most documents, reducing reliance on the higher-priced alternative
  • V5.1.1 (2026-03-18)
    1. Added a simple and flexible interface to list, classify, assign and extract documents
    2. Added audio recordings and SOAP note conversion (Healthcare Scribe feature)
    3. Added cloud drive integration

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