The pace of research-driven medical progress has been slowed by difficulties in obtaining, cleaning, and analyzing messy and unstructured clinical data. Specifically, researchers have faced obstacles in accessing and preparing data, navigating analytics tools not optimized for large datasets, and developing and maintaining bespoke analytics code. They have also had to manually oversee access permissions and version tracking for changes made to data, analysis code, and study content to ensure accuracy.
These obstacles have slowed the pace of learning in healthcare, limiting adoption of new therapies and advancements in care delivery. Download this whitepaper to see how Truveta can help solve these challenges with complete, timely, and clean regulatory-grade electronic health record (EHR) data that is normalized, de-identified, and updated daily.
