Healthcare reference library

Ursa Health has synthesized international code sets, best-in-class third-party resources, and its own proprietary intelligence to create a set of look-up tables that are vital ingredients for enriching healthcare’s data ontologies. No need for you to do any research, acquire any additional licenses, or perform any new set-up — we do all the painstaking compilation and maintenance of this valuable healthcare reference material for you. So instead of working with an indecipherable 11-digit NDC pharmacy code, for example, you’re viewing drug names, the way each maps to a therapeutic class of drugs, average pricing, and more.

Reference tables can be used to add descriptive fields to raw data code fields, create custom value sets based on your internal business logic, and interpret complex data sets.

From this foundation, we’ve created over 15,000 standard value sets, the lists of codes that map structured data to clinical and business concepts used for analytics (e.g., the ICD-10 diagnosis codes that indicate congestive heart failure) and enable more finely grained analyses. From day one of your Ursa Studio use, you can focus on applying the clinical and business logic that produces the answers you need rather than setting up these vital building blocks yourself.

With our Reference Data Review feature, you can look over the data of eligible reference tables used by Ursa Studio. Then, with just a few clicks, you can build new value sets from the starting tables.

Users can also jump to the Reference Data Review screen from within an existing value set to both investigate and edit the contents of the value set.

Reference data objects can be linked to other objects in Ursa Studio for data modeling purposes.