AI-Driven De-Identification Unlocks HIPAA-Safe Insights from 300M+ Healthcare Records
De-identification & Risk Assessment Platform:
LexisNexis Risk Solutions
As a global leader in data and risk assessment, LexisNexis Risk Solutions needed a scalable way to de-identify and certify hundreds of millions of sensitive healthcare records for secondary use while preserving high analytical value.
By partnering with PrimeAI to build an Expert Determination and risk assessment platform, LexisNexis accelerated its HIPAA compliance workflows, increased the utility of its healthcare datasets, and expanded HIPAA-compliant data sales to large enterprise customers.
300M
Healthcare records completed de-identification process at scale while maintaining HIPAA-compliance
The Team Needed a Solution that Could:
Streamline and standardize documentation needed for HIPAA certification and customer audits.
Automate de-identification and risk assessment across large, complex datasets.
Preserve maximum analytical value while keeping re-identification risk very small, in line with HIPAA Expert Determination guidance.
The Challenge
LexisNexis Risk Solutions manages massive healthcare data assets that include medical claims, patient attributes, provider information, and mortality data used for research, analytics, and real-world evidence. The organization needed a robust way to integrate, evaluate, and de-identify over 300 million records while maintaining strict HIPAA compliance.
Traditional, manual Expert Determination reviews were time-consuming, difficult to scale, and created bottlenecks for bringing new or updated datasets to market. At the same time, overly aggressive anonymization approaches risked stripping out the granular detail needed for meaningful analytics.
PrimeAI’s Solution
PrimeAI designed and implemented the Expert Determination Platform and Rule Applicator (XD Applicator), a framework that automates de-identification and risk assessment for sensitive healthcare datasets. The platform combines algorithmic risk scoring with configurable rule-based transformations to evaluate, anonymize, and certify datasets at scale.
Using principles consistent with HIPAA Expert Determination, the XD Applicator systematically assesses re-identification risk, applies appropriate de-identification techniques, and documents results for compliance and audit readiness. Rules can be tuned by data type, use case, and customer requirements, allowing LexisNexis to balance privacy protection with analytical utility.
The solution was deployed in secure cloud environments on Azure and Google Cloud Platform, leveraging cloud-native security controls, encryption, and isolation to support zero-trust principles and protect PHI throughout the pipeline. This architecture enables horizontal scaling to handle hundreds of millions of records without compromising performance or compliance.
The Results
With the XD Applicator in production, LexisNexis significantly increased the volume and variety of HIPAA-compliant healthcare datasets it could confidently take to market, driving growth in data licensing and analytics offerings for life sciences, payers, and other enterprise customers.
Automated de-identification and standardized risk assessment shortened compliance review and certification cycles, reducing time-to-market for new data products and updates.
By preserving higher data utility—such as longitudinal linkages and richer cohort definitions—while maintaining strict privacy safeguards, the platform enabled more advanced analytics, real-world evidence generation, and scalable partnerships across the healthcare ecosystem.
Customer Success Stories
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LexisNexis De-Identification & Risk Mitigation
LexisNexis wanted to grow revenue by offering HIPAA-compliant enriched healthcare data products and risk insights. Using our de-identification and risk-scoring platform, they scaled compliant data products, reduced privacy risk, and accelerated regulatory certification and customer onboarding cycles.
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Marmic Technician Scheduling & Routing
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CheckSammy Pricing Optimization & Workforce Routing
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Forto Demand Planning & Pricing Optimization
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