🩺 Healthcare & Life Sciences

HIPAA-Aligned AI Governance

Govern PHI in agent workflows, keep a tamper-evident audit trail to support your HIPAA compliance program, and gate high-risk clinical actions behind explicit authorization.

Healthcare AI Challenges

PHI inside LLM contexts

Patient names, insurance credentials, and medical conditions must never be stored on provider logs or public models. RaksHex redacts PHI data in real time.

HIPAA Audit Trails

Healthcare providers must maintain complete, tamper-evident audit logs of all agent actions on patient data. RaksHex's hash-chained Action Ledger records every authorization decision to support your compliance program.

Uncontrolled Agent Actions

Autonomous clinical or administrative agents shouldn't be able to take high-risk actions — updating records, sending communications — without explicit, scoped authority. RaksHex evaluates each action against delegated authority before it executes.

Example Control Workflows

Example: Telehealth summarization tool

Masking PHI in Patient Summarization Tools

The Challenge:An agent summarizing doctor-patient calls risks patient addresses and record IDs leaking to external API provider logs.

The Solution:Route the workflow through RaksHex's PHI egress filter so diagnostic codes, addresses, and ID patterns are masked before they reach the model.

The Result:Produces an auditable control trail; the customer must validate coverage for its own data and workflows.

Example: Clinical research RAG bot

Auditing Access to Clinical Trial Data

The Challenge:A RAG workflow querying clinical trial records needs a defensible trail of who accessed which patient vectors, for internal and external review.

The Solution:RaksHex's Action Ledger records each authorization decision in a hash-chained, tamper-evident log mapped to the requesting identity and resource.

The Result:Supports evidence collection for a compliance audit; it does not certify HIPAA compliance on its own.

Example: Radiology reporting assistant

Flagging Anomalous Diagnostic Recommendations

The Challenge:A reporting tool that hallucinates scan conclusions can introduce anomalous findings into patient charts before a clinician reviews them.

The Solution:Require human sign-off as a scoped authorization step for any output routed to a patient chart, enforced at the action layer rather than left to model behavior.

The Result:Outcomes depend on the model, workflow, and review policy the customer configures.

Talk to us about your healthcare workflows

Walk through how RaksHex can govern PHI-handling agent actions in your environment.

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