For many patients, seeking the appropriate care means seeing providers at a number of different locations. As a result, pertinent information is often scattered among a variety of healthcare sites. This poses unique challenges for organizations that aggregate and share patient data like integrated delivery networks, health information exchanges, and clinical data registries.

Since the information they gather and manage comes from a wide range of sources – and in different file formats – these organizations must not only aggregate material, but ensure that the resulting data is both complete and accurate too. This process, known as data normalization, can be daunting. However, using a solution that incorporates a foundational clinical terminology layer can help, taking the job of ensuring high-quality data from difficult to doable.