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The Growing Momentum and Adoption of Trial Tokenization in 2023 and Beyond
See reflections about the growing momentum and adoption of trial tokenization, as well as our recommitment to drive innovation in 2023 and beyond.
Read MoreThe Growing Momentum and Adoption of Trial Tokenization in 2023 and Beyond
How Feasibility Tools Can Accelerate Data Partnerships
Want to accelerate your health data partnerships? Datavant Switchboard now includes feasibility tools that reduce the friction in health data exchange.
Read MoreHow Feasibility Tools Can Accelerate Data Partnerships
Top 5 Trends in the Healthcare Data Ecosystem
Explore the dynamic trends shaping the healthcare data landscape. From disease-specific clinical data to privacy-preserving collaborations, uncover the evolving ecosystem.
Read MoreTop 5 Trends in the Healthcare Data Ecosystem
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
The COVID-19 Research Database and the Future of Tokenized RWD
COVID-19 Research Database uses Datavant for transformative health research. Learn about the impact on patient outcomes, privacy, and innovative studies.
Read MoreThe COVID-19 Research Database and the Future of Tokenized RWD
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.
Read MoreCreating Usable Linked Patient Registries
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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