Case Study:
Reducing HIPAA Violations for a Multi-State Hospital Network

The client is a multi-state healthcare provider network with 25+ facilities processing more than 50,000 monthly claims. Their operations handle large volumes of EOBs (Explanation of Benefits) and medical PDFs that require strict controls for protected health information (PHI).

The challenge

Claims and document intake relied on manual PHI redaction, which became both a cost center and a throughput constraint. Twelve compliance specialists were dedicating significant time to review and redaction, and the network estimated approximately $250,000 annually in manual redaction expense. Manual processes also created variability across reviewers and made it harder to produce audit-ready evidence of what was redacted and why.

i-GENTIC’s solution

i-GENTIC AI deployed GENIE™ to execute governed PHI detection and redaction workflows across structured and unstructured files, including scanned PDFs. GENIE™ identified PHI, applied policy-aligned treatments (masking, hashing, or tokenization as required), and generated an evidence trail to support compliance review and audit readiness.

Results

• Lower cost and better staff allocation: Automation saved approximately $250,000 per year and enabled redeployment of four full-time compliance officers to exception handling, oversight, and audit preparation.

• High accuracy: GENIE™ achieved 99.8% PHI identification and redaction accuracy, reducing variability and missed identifiers.

• Faster processing: Document processing time decreased by 93%, improving workflow throughput without relying on slow manual review cycles.

Next step

If your organization still depends on manual PHI redaction for EOBs and medical PDFs, i-GENTIC AI can review your current intake workflow and identify where GENIE™ can reduce cycle time, strengthen audit evidence, and lower operational cost.

Measurement notes: “Faster processing” reflects document handling time from intake to redaction-ready output across participating workflows. “Breach cost mitigated” reflects reduced exposure based on internal risk modeling and conservative assumptions rather than a guaranteed avoided loss.

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