Version 1.1 Release

11/18/2015

Los Angeles, CA

Today, Ursa Health announces a version 1.1 release of its flagship software product. Version 1.1 ships with a fully flexible binding system between the application and the EHR reporting database. Whereas in previous releases it was necessary for client IT to prepare a set of tables to conform to Ursa Health’s expected data model, it is now possible for users to register new tables and edit the registration of existing tables in the Ursa Health data model. This customizability and flexibility is a significant advance from prior generation analytics solutions.

“This feature was borne of necessity in our implementation at UCLA,” Dr. Robin Clarke, Ursa Health co-founder explains, “as the reporting database tables and views are constantly in flux in response to new requests from clinicians. And, we are always keen to pull out the latest and most relevant pieces of clinical data from the EHR reporting database.” But this also means for new implementations that Ursa Health’s software is capable of meeting clinical, administrative, and financial data as it has already been prepared by hospital IT. “As of the 1.1 release the Ursa Health measure builder and user-facing visualization suite are completely data-model agnostic, and can work with whatever schema has been registered,” said Steve Hackbarth, CTO of Ursa Health. “This results in an implementation timeline of days rather than weeks before new clients receive their first results.”

Ursa Health’s mission is to provide this customizability of clinical data at scale while ensuring validity. To this end, Version 1.1 offers enhancements to the software’s admin panel including introduction of the Ursa Health hygiene check. This feature ensures – with minimal programmer time – that the data in the reporting database tables represent the fields and figures used to build the custom measures.

About Ursa Health: Ursa Health is a healthcare innovation company pioneering analytics to support delivery systems and providers in studying their performance, testing interventions, and continuously improving their care.