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What is Privacy-Preserving Record Linkage (PPRL) and Why Does It Matter?
PPRL, often known as tokenization or data linkage, protects patient privacy, enhances accuracy, and enables diverse insights. Learn how it benefits government agencies and researchers.
Read MoreWhat is Privacy-Preserving Record Linkage (PPRL) and Why Does It Matter?
Takeaways from Real-World Data Connect 2023 | Privacy & Data Governance Track
Connecting de-identified real world data holds tremendous potential, but that potential can only be realized with thoughtful approaches to patient privacy.
Read MoreTakeaways from Real-World Data Connect 2023 | Privacy & Data Governance Track
Referential Data in Datavant Match
Referential data is exactly what it sounds like: a large body of data to which we can refer in the process of matching, a bridge between otherwise disjointed…
Read MoreReferential Data in Datavant Match
How our Security and Compliance Teams Approached Datavant’s FedRAMP®Authorization
Datavant obtains FedRAMP Authorization, enhancing public health data connectivity and fostering collaborative public-private approaches for improved information technologies.
Read MoreHow our Security and Compliance Teams Approached Datavant’s FedRAMP®Authorization
The Value of Synthetic Data in Healthcare
Synthetic data has the potential to be a critical technology in healthcare, as it enables representative patient data with inherent privacy protection. See more.
Read MoreThe Value of Synthetic Data in Healthcare
Algorithmic Overlap Estimations (Part 2)
Compare overlap estimation algorithms including token-based sampling, HyperLogLog, HyperMinHash, and Bloom filters. Analyze pros, cons, and evaluation results.
Read MoreAlgorithmic Overlap Estimations (Part 2)
Fast Facts on the Cures Act and Information Blocking
To improve patient care, Healthcare IT companies must understand what ‘information blocking’ is and how to comply with the Cures Act Final Rule.
Read MoreFast Facts on the Cures Act and Information Blocking
Patient Matching: Privacy Considerations
Patient matching is critical to improving patient outcomes. Discover how patient health data is linked across the health data ecosystem.
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