Certain factors for the success of an open-science community like OHDSI are more obvious than others. When hundreds of people come together to research a common cause, or studies are run against millions of patient records in a global database, it becomes clear that something impactful is happening.
One critical factor in OHDSI’s ability to perform rigorous, ground-breaking analyses lies under the surface, but it holds an equally important role in the overall community mission. A core foundation for OHDSI is open-source software development, and a small group of community collaborators, led by Martijn Schuemie, has generated a collection of analytics tools that enable research both in and out of the OHDSI community.
HADES — the Health Analytics Data-to-Evidence Suite — is a set of 20 open-source R packages for large scale analytics, including population characterization,