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Health Data Trends Part I: Top Trends in Health Data Demand
Health data trends reveal how Datavant clients create a robust picture of patient health that accelerates research, improves patient outcomes, and lowers healthcare costs.
Read MoreHealth Data Trends Part I: Top Trends in Health Data Demand
Datavant Supports FDA Guidance with a Privacy-first Approach to Using Real World Evidence for Regulatory Decision Making
Datavant submitted comments on the recently issued FDA’s guidance that helped to clarify how real world data could be made “fit for purpose” in regulatory decision-making.
Read MoreDatavant Supports FDA Guidance with a Privacy-first Approach to Using Real World Evidence for Regulatory Decision Making
Can Connected Health Data Help Close the Gap in U.S. Maternal Mortality Rates?
Closing the maternal health data gap can help improve the U.S. maternal mortality rate. Learn strategies to kick-start the process.
Read MoreCan Connected Health Data Help Close the Gap in U.S. Maternal Mortality Rates?
INTERVIEW: Improve Patient Care and Avoid EHR Burnout
At the HIMSS21 conference, we sat down with 9 of the industry’s front-runners in leveraging health data. Here are the insights we learned.
Read MoreINTERVIEW: Improve Patient Care and Avoid EHR Burnout
Announcing Privacy Hub and the Future of Privacy-Preserving Technologies
Learn how Privacy Hub’s privacy-preserving technology maintains data utility while protecting privacy through HIPAA expert determination.
Read MoreAnnouncing Privacy Hub and the Future of Privacy-Preserving Technologies
An Overview of Approaches to Privacy-Preserving Data Sharing
Explore the landscape of privacy-preserving data sharing technologies, from synthetic data to differential privacy. For each technology, we provide summaries, pros, cons, and our projections for future usage…
Read MoreAn Overview of Approaches to Privacy-Preserving Data Sharing
What is Data Normalization? (And Why Do We Need It?)
Data normalization allows those in healthcare technology to consume and share data into specific, expected, and transportable units of information.
Read MoreWhat is Data Normalization? (And Why Do We Need It?)
INTERVIEW: Reduce Practice Burden with Robotic Process Automation
At the HIMSS21 conference, we sat down with 9 of the industry’s front-runners in leveraging health data. Here are the insights we learned.
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