A Community of “Accelerators”

In June of 2021, the Therapeutics Parallel Analysis (TxPA) work group of the COVID-19 Evidence Accelerator paused to conduct a retrospective or “retro”. For those of you who are unfamiliar with the expression, a retro is an opportunity to review the work of a previous cycle or “sprint” in Agile terminology. A retro allows the Evidence Accelerator community the opportunity to step back and see how far we have come, what went well, and where we could make improvements.

Race and COVID-19: Where do we go from here?

COVID-19 exposed significant racial and ethnic health inequities in our U.S. health system. The current pandemic demonstrates the structural challenges we must overcome as health professionals to ensure equitable access to health-promoting services and the role data collection can play.

Working Toward Data Interoperability

When talking about data interoperability, researchers should understand that most data issues can be traced back to a lack of alignment.

Evidence Accelerator Model – A Critical Catalyst Towards A Learning Health System

Our national and global shared experience with COVID-19 crystallized the criticality of near real-time, real-world data (RWD) to generate insights and actionable information; and the imperative to drive towards a learning health system.