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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The COVID-19 Research Database and the Future of Tokenized RWD

Launched in 2020, the COVID-19 Research Database (informally, the RDB) began as a partnership of more than a dozen not-for-profit and commercial health data organizations with a desire to pool resources to fight the COVID-19 pandemic. Using Datavant’s data de-identification and tokenization, the collaborating organizations tokenized their cohort data

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Anjali Suresh On Transparency and Owning the Mission

When Anjali Suresh joined Datavant in January 2019, it was her first job out of college. She has since transitioned from an Individual Contributor working on configuration products to an Engineering Manager of the Switchboard Activation Team, a role that is a direct extension of her initial work at Datavant. Below, Anjali discusses the growth of her projects and some of the challenges she has faced along the way.

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Creating usable linked patient registries
Creating Usable Linked Patient Registries

Privacy-preserving record linkage tools break down data silos when linking patient registries. Learn which PII to collect for token creation, how to choose platforms that enable linkage, and how to update IRB protocol language.

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Algorithmic Overlap Estimations (part 2)

Evaluating and comparing the estimation algorithms outlined in Part 1 of this post involved curating a diverse set of production datasets that could represent the range of overlap scenarios we’re interested in analyzing. We had previously simplified this as needing to compare

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Building Datavant-UK

Convenet is a single API running on RESTful JSON that connects to 100% of England’s General Practitioner (GP) systems and the UK National Health System (NHS) Spine. We also enable connections to dozens of 3rd-party services, including pharmacies, care homes, and remote medical consultation services.

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Cancer Research Needs Better Databases

This year, a study of ten million people revealed the power of longitudinal research. A team mined a vast medical database of US military personnel, including tissue samples and health records collected over 20 years.

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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, providing a holistic view of the patient journey through time.

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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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