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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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Unlock the Full Potential of Clinical Trial Tokenization | Datavant

Clinical trials are central to making health advancements. Clinical trial tokenization and real-world data enable improved insights into the patient journey.

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The Next Generation of Employee Health

Using Datavant to link and de-identify employee health data, employers can better understand their employee needs and offer the right benefits for improved wellness and cost optimization.

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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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Connect Employee Health & Wellness Data with Datavant

Making the right health and wellbeing decisions requires complete employee data, but that data is fragmented across dozens of organizations.

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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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Comparing Bloom filters and tokenization for matching de-identified patient data

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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Algorithmic Overlap Estimations (part 1)

This is the first of a two-part post discussing some of the research behind our recently launched Datavant Trials, a web-based trial tokenization solution that helps bridge the gap between clinical trials and real-world data (RWD) to accelerate research-grade evidence generation. In this post, we outline our interest in and approaches to computing overlap between datasets that play a significant role in our trial tokenization product.

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