Data De-Identification for Health Plans: Take The First Step
Why Data De-ID?
Traditional methods such as Masking and Encryption are no longer enough. Synthetic data, while useful, often fail to replicate the complexity and volume of production data.
Data de-identification uses a one-way algorithm to permanently alter data, removing sensitive information while preserving its complexity. It ensures HIPAA compliance and significantly reduces the risk of exposing sensitive data in lower environments.
Even if you attempt to de-identify data using unsophisticated techniques like deletion, redaction, or obfuscation, there’s a risk of re-identification. Skilled hackers or even AI can piece together the jigsaw and re-identify individuals from the data.
Why SourcEdge?
With 25+ health plans, a powerhouse of 100+ tech pros, and 7 leading software certifications, we’ve carved out a niche in the industry that’s second to none. We’ve transformed data handling processes, fortified data security, and helped our clients navigate the complexities of data de-identification.
Worried About Data Security Loopholes?
Take the First Step With Our 90-Day Opportunity Analysis
From assessing your current test environment to developing an automated feed architecture, our Opportunity Analysis covers all bases:
Analyze PHI Data Dependencies
Develop PHI and Non-PHI Architecture
Design Data Warehouse for De‑Identified Data
Establish Non-PHI Application Feed Framework
Develop Automated Data Update Architecture
Ensure HIPAA-Compliant Data Handling
Convert De‑Identified Data
Deliver Assessment Document with Timeline
Recorded Client Presentation
"Masking PHI Using De‑Identification Throughout the SDLC"
We deliver the one-way algorithm that permanently alters data while preserving its complexity.
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Steve Sideris
Vice President, Health Plan Services
