Clinical AI touches PHI by design
Documentation, communication, and scribing tools handle protected health information as a core function, not an edge case.
By industry
Clinical AI, without the privacy incident.
Clinical scribes and patient-facing assistants touch PHI, documentation, and patient communication by design. A small mistake becomes a privacy incident or a patient-safety risk- governance keeps that from being the default outcome.
Why it matters
Consequence is measured in patients, not just records
A small mistake carries outsized consequence
The blast radius isn't a customer-facing bug-it's a privacy incident or a patient-safety event, without dedicated controls.
HIPAA and HITRUST expect evidence, not effort
Audit-ready records that hold up under review are the bar, not a good-faith description of internal process.
What Lineation does
Privacy and clinical safety, enforced at runtime
PHI-aware policy
Rules on what can enter a prompt, be retrieved as context, or leave in an output, built for real clinical usage patterns.
Clinical output safety checks
Confident but incorrect or clinically risky content is flagged before it reaches a clinician or patient.
Shadow AI mapping
Unsanctioned AI usage across departments and vendors is surfaced so policy applies consistently everywhere.
Audit evidence
Clear, searchable records support audits and investigations aligned with HIPAA, HITRUST, ISO 27001, and SOC 2.
How it works
Five steps to compliant clinical AI
Discover clinical AI tools
Sanctioned and unsanctioned tools across departments and vendors are inventoried.
Set PHI policy
Rules define what PHI may enter a prompt or leave a response, by workflow.
Flag risky output
Clinically unsafe or hallucinated content is caught before it reaches a clinician.
Redact PHI automatically
Sensitive fields are stripped at the output layer without manual review.
Maintain the audit record
A searchable log supports compliance review without a manual screenshot process.
FAQ
Common questions
How does this prevent PHI from leaking in an AI note?
Output is inspected before it reaches a user or system, with PHI redacted automatically using context-aware detection.
Can this integrate with our EHR and security tools?
Yes-policy and monitoring sit at the agent and gateway layer, integrating with EHRs, SIEM, and identity platforms.
Does this flag clinically unsafe content too?
Yes-output checks cover clinically risky or hallucinated content in addition to PHI and other regulated data.
Are we HIPAA-compliant if a clinician pastes patient data into a chatbot?
Shadow AI discovery surfaces unsanctioned usage so policy can be applied consistently, closing the gap where PHI moves outside approved channels.
Can this run as a pilot on one department first?
Yes-deployment scales from a single-department pilot to a full rollout with the same guardrails throughout.
What compliance frameworks does this map to?
HIPAA and HITECH for PHI safeguards, ISO 27001 and SOC 2 for operational controls, and audit evidence for HITRUST-aligned review.
Unlock clinical AI without betting patient privacy on it.
PHI policy, output safety checks, and audit evidence, live across every department.