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Top 5 Trends in the Healthcare Data Ecosystem
This is a thrilling time to be working in the healthcare industry and with real-world data (RWD) in particular. There is a rapidly growing healthcare data ecosystem, major strides in privacy-preserving methods, growing applications of artificial intelligence (AI) on big healthcare data, and an increasingly open attitude amongst industry stakeholders to use data collaborations to achieve better patient outcomes.
How our Security and Compliance Teams Approached Datavant’s FedRAMP® Authorization
FedRAMP provides a standardized approach to security authorizations for cloud service offerings. You could say it’s the mother of all compliance frameworks. We went from having programs like SOC (System and Organization Controls) 2 — Type 2, where we had 50 security controls in place, to FedRAMP Moderate, where we now have 326 controls in place.
Breaking Through Clinical Research Barriers with Datavant Switchboard’s Medical Record Retrieval
In 2022 we announced the Datavant Switchboard, our core connectivity platform. Today, we are excited to announce that the Datavant Switchboard includes the ability to support patient-mediated record retrieval to power clinical research.
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
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.
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