Specialized Services
PHI De-Identification & Masking
- Masks or tokenizes structured fields in claims, eligibility, and provider data
- Redacts free text and replaces full datasets when required
- Preserves structure and logic for analytics, QA, and integration use
Claims Platform & EDI Integration
- Supports X12 EDI formats (837, 835, 834) and claims platforms like Facets®, QNXT™, and HealthRules®
- De-identifies data in staging, dev, UAT, and analytics environments
Custom Strategy & Governance
- Defines HIPAA-aligned rules for field-level de-identification
- Applies controls across data pipelines, lakes, and warehouses
- Delivers audit-ready outputs via secure file transfer protocols
Testing & Implementation Support
- Creates test cases using clean, compliant data
- Validates de-identification against system and QA needs
Success Story
Capital District Physicians’ Health Plan Shares De‑identification Use Cases
“From a CDPHP standpoint, we wanted to have the protection of the de-identified data, ensure that our offshore resources were not seeing production data unless absolutely necessary, and address concerns around data breaches.”
Dan Kinser
VP, Core Systems
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Knowledge Bank: Preventing Data Breaches With De-Identification
The Growing Threat of Data Breaches in Healthcare
Data breaches and cyberattacks are increasingly targeting healthcare organizations, compromising claims systems and disrupting critical insurance payments. Health plans are particularly vulnerable, and these breaches can have catastrophic financial and operational consequences. With threats constantly evolving, healthcare providers need robust data management solutions that protect sensitive information while maintaining system integrity.
How De-Identification Protects PHI
De-identification is a process that masks PHI in non-production environments, preventing unauthorized access while still enabling healthcare organizations to use the data for testing, analysis, and system optimization. By removing personally identifiable information, Alivia Analytics ensures patient privacy and reduces the risk of data breaches, while maintaining compliance with HIPAA and other regulations.
Enabling Responsible AI with De-Identified Data
Responsible AI applications require access to large datasets, but using sensitive healthcare information poses significant risks. Alivia’s de-identification solution allows organizations to leverage AI while ensuring patient data remains private. This approach enables innovation in AI without compromising compliance or security, allowing healthcare organizations to gain insights from data safely.
X12 EDI and Data Security in Healthcare
X12 EDI is a standardized data format used for electronic claims processing in healthcare. Alivia Analytics specializes in securing this data by applying de-identification techniques, ensuring that sensitive information within the claims process is protected from breaches and remains compliant with regulations. This process not only secures patient data but also allows healthcare organizations to streamline their claims processes efficiently.
Frequently Asked Questions (FAQ)
What is de-identification in healthcare data management?
De-identification is the process of removing or masking personally identifiable information (PII) from healthcare data to ensure privacy and security, particularly in non-production environments.
Why is de-identification important for non-production environments?
In non-production environments, healthcare data is often used for testing, development, or analysis. De-identification ensures that PHI is not exposed to unauthorized access during these activities, reducing the risk of data breaches.
How does Alivia Analytics ensure the security of PHI?
Alivia uses advanced de-identification techniques to mask PHI, ensuring that sensitive data is protected in non-production environments. Our solutions comply with HIPAA and other regulatory standards, ensuring patient data privacy.
What is the role of X12 EDI in healthcare data management?
X12 EDI is a standardized format used for electronic data interchange in healthcare claims. Alivia’s de-identification solution ensures that this sensitive data is secure, compliant, and protected from breaches.
How does de-identification support responsible AI?
De-identification allows healthcare organizations to use data in AI applications without exposing sensitive patient information, enabling responsible AI practices while maintaining regulatory compliance.
How does Alivia’s solution help with regulatory compliance?
Our de-identification process ensures that healthcare organizations remain compliant with HIPAA and other regulations by masking PHI and preventing unauthorized access to sensitive information.
What are the benefits of migrating to modern systems?
Migrating to modern systems improves data security, enhances performance, and reduces operational costs. Alivia’s services ensure a smooth transition with minimal disruption.
How does Alivia Analytics help save costs on database infrastructure?
Alivia conducts audits of database licenses and offers upgrades (e.g., from Oracle 11g to 19c) to optimize costs and improve system performance, providing long-term savings for healthcare organizations.
