Real-world evidence can usefully support precision medicine and faster regulatory approvals. The use of statistical methods to develop better case-identifying algorithms enables use of claims databases to study rare diseases and other targeted indications as well as more valid outcome ascertainment for safety and effectiveness research.

As real-world evidence is increasingly used to inform healthcare decision making, including regulatory decisions, robust methodology is becoming ever more critical.

The needs for higher quality and timely real-world evidence has risen to a never-before-seen level, with the clamoring voices of payors, patients and providers alike expressing, often in unison, the need for such evidence to help determine the highest value treatment for the right patient, at the right time.

Traditional methods of generating evidence, from single data sources and perspectives, often no longer meet the needs of our complex health system. HealthCore has the data assets and expertise necessary for going broad and deep in real-world evidence generation.