Most clinical research sites are expected to manage multiple concurrent studies, often with different data types (e.g., administrative, clinical, laboratory) and methods of data capture (e.g., manual entry vs. automatic loading).
But, as more studies and data types are introduced, existing data exploration tools and interfaces become less effective.
The informatics best practice for exploring data across multiple studies and data types is not to build one "query tool to rule them all," but rather to provide "data marts" optimized for specialized uses, so that principal investigators, external collaborators, study coordinators, and internal stakeholders can access the data they need, at the time they need it.
Join us for this complimentary webinar on how clinical researchers are leveraging 'data marts' to more effectively and efficiently explore sensitive data in highly regulated environments.
