Protect behavioral and medical records while keeping authorized teams productive.
A healthcare network needed to share records across teams and partners without exposing protected health information. We deployed an AI-powered pipeline that classifies documents, detects PHI, and applies context-aware redactions. Access is enforced via roles and just-in-time approvals; all events are logged immutably for audits. The result: secure collaboration with clear evidence of compliance.
Different teams required different views of the same record.
Time-consuming, error-prone processes delayed care coordination.
Legacy systems lacked fine-grained permissions and auditability.
Leadership needed confidence in data protection controls.
NLP models find identifiers, dates, and clinical attributes in text and PDFs.
Remove or mask fields based on role and purpose—no over- or under-redaction.
Time-bound approvals for exceptions; every action logged.
Labels enforce where data can go and how long it stays.
Data inventory and risk analysis; map user roles and purposes.
Start with high-volume document types and expand coverage.
Connect EHR, file stores, and collaboration tools.
Monitor false positives/negatives and tune regularly.
De-identified datasets enable reporting and model training safely.
Side-by-side before/after views let humans approve batches quickly.
Signed logs satisfy internal and external audits with less effort.
Right data to the right roles with less manual effort.
Automation reduced document handling time.
Clear evidence for regulators, partners, and insurers.
De-identified datasets enable safer insights.
NLP detects identifiers and applies context-aware masking at scale.
Just-in-time approvals and least-privilege views keep teams productive and safe.
Signed, immutable events simplify regulator and partner reviews.
Pseudonymized datasets enable insights and model training without exposing PHI.
Protecting sensitive data shouldn’t slow care. Automated redaction and precise access control keep teams productive while meeting compliance obligations.
