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🩺 Healthcare & Life Sciences

HIPAA-Ready AI Governance

Redact PHI patterns, compile HIPAA-compliant audit logs, and monitor model recommendations for hallucination risks.

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, immutable audit logs of all user queries and model outputs. RaksHex records security metadata to verify compliance.

Model Hallucination Risks

Non-deterministic AI outputs can yield wrong medical suggestions or wrong dosages. RaksHex flags anomalies and provides output boundaries.

Healthcare Case Studies

CareHealth (Telehealth)

Masking PHI in Patient Summarization Tools

The Challenge:CareHealth deployed an agent to summarize doctor-patient calls. However, doctors mentioned patient addresses and record IDs, which leaked to public API provider logs.
The Solution:CareHealth integrated RaksHex's real-time PII/PHI egress filter. All diagnostic codes, addresses, and ID patterns are automatically masked before LLM ingestion.
The Result:Zero patient identifiers leaked to third parties, maintaining absolute confidentiality.
MedScout (Research)

HIPAA Auditing for Clinical Trials

The Challenge:MedScout built a RAG bot to query clinical trials. To satisfy HIPAA auditors, they needed a comprehensive audit trail of who accessed which patient vectors.
The Solution:RaksHex generated end-to-end audit reports mapping queries to vector databases, resolving security metadata into reports.
The Result:Passed HIPAA audit with flying colors, proving 100% control over patient data access.
RadiologyAI (Diagnostics)

Preventing Hallucinations in Radiology Recommendations

The Challenge:RadiologyAI's reporting tool hallucinated scan conclusions, generating anomalous findings in critical patient charts.
The Solution:By routing completions through RaksHex's diagnostic validation engine, any output containing critical semantic mismatch alerts was automatically flagged for human review.
The Result:99% reduction in model recommendation anomalies before doctor signoff.

Secure your healthcare APIs

Run a sandbox scan of your healthcare API specs to audit compliance risks immediately.

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