Datavant Blog

Perspectives on health data, privacy, technology, and more, straight from the minds of our thought leaders and subject matter experts.

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Anjali Suresh On Transparency and Owning the Mission

Explore the evolution of an engineer to leader at Datavant. Learn how early responsibility drove growth, navigated challenges, and led to impactful projects.

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Creating usable linked patient registries
Creating Usable Linked Patient Registries

Privacy-preserving record linkage enhances treatment strategies, disease understanding, and patient care. Discover the challenges and potential of registry linkage.

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Algorithmic Overlap Estimations (part 2)

Compare overlap estimation algorithms including token-based sampling, HyperLogLog, HyperMinHash, and Bloom filters. Analyze pros, cons, and evaluation results.

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Building Datavant-UK

Discover how Datavant connects to UK GP systems and the NHS Spine for robust patient record retrieval. Learn about Datavant’s goals for secure data flow.

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Patient matching being conducted by healthcare professional using healthcare data - illustration
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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Health data exchange example illustration of giant laptop, mobile device and stethoscope next to two healthcare practioners. One professional reviews health data on a laptop. The other reviews patient x-rays.
Health Data Exchange Challenges to Solve in 2023

Health data ecosystem leaders reveal 4 key health data exchange challenges to be solved in 2023 and how to work together to solve them.

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Why and How to Hire for Potential

I compare it to the Compounding Effect in finance. I’ve written about this since 2018. I think personal growth is very similar to compound interest: it tends to be exponential. A lot of people in the first half of their career journey have the capacity to increase their personal skills at a rate of 2 or 3 times a year.

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Data Anonymization Techniques: Tokenization and Bloom Filters

Datavant’s mission is to connect the world’s healthcare data to improve patient outcomes while maintaining patient privacy. HIPAA has a list of 18 pieces of identifying information that must be removed in order to satisfy the Safe Harbor method of de-identification, and offers further guidance on how parts of patient data can be included in a record while still qualifying as “de-identified.”

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Ksenia Aleksankina: Accelerating Expert-Led Privacy-Preserving Technology for the Health Data Ecosystem

Privacy Hub by Datavant offers industry-leading, independent HIPAA disclosure risk assessment and expert determination products and services, incorporating a breadth of analytical technologies and leveraging decades of experience of the world’s leading experts from across the field.

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