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Medical PHI Redaction & Anonymization

AI-assisted PHI redaction and anonymization for medical documents and images

30 min
Free
Location 1

Descripción del servicio

Book a personalized demonstration of the Medilis Medical PHI Redaction & Anonymization solution and see how sensitive patient information can be automatically detected, redacted, and anonymized across medical documents, referral forms, scanned PDFs, clinical notes, and image-based content. During this session, we will demonstrate how the system helps healthcare organizations prepare medical data for secure sharing, AI processing, research, second opinions, referrals, and external collaboration while reducing exposure of protected health information. The demonstration will cover: • AI-assisted detection of patient identifiers and sensitive information • PHI redaction from scanned documents, PDFs, images, and referral forms • Anonymization workflows for medical records and clinical attachments • Support for healthcare data preparation before AI processing or external sharing • Review and validation tools for clinical and operational teams • Secure workflow options for hospitals, imaging centers, clinics, and veterinary organizations • Integration possibilities with existing clinical systems, portals, and document workflows This session is intended for healthcare IT teams, privacy and compliance officers, clinical operations teams, imaging centers, hospitals, clinics, research teams, and organizations working with medical data that requires secure anonymization. Important Eligibility Notice This demonstration is available exclusively to hospitals, imaging centers, healthcare organizations, clinics, research organizations, and qualified healthcare professionals acting on behalf of their organization. Registration requires a valid organizational or corporate email address. Requests submitted using personal email services such as Gmail, Yahoo, Hotmail, Outlook.com, or similar consumer email providers may not be approved. Duration: 30 minutes Format: Online demonstration


Datos de contacto

  • contact@medilis.ai


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