NASHVILLE, Tenn., September 9, 2021—Ursa Health has released version 5.0 of Ursa Studio, its ground-breaking analytics development platform. Technical advancement of the platform to ease the process of importing and exporting logic between separate instances of the software has given rise to significant benefits. Most notably, multiple organizations can share the same analytic foundation as they work together to improve clinical and financial outcomes.
“The healthcare industry recognizes the importance of shifting to value-based care,” explained Robin Clarke, M.D., Ursa Health’s chief executive officer. “However, the tools haven’t really been in place to help organizations execute innovative partnerships to deliver greater clinical and financial value. A primary challenge has been authoring and sharing the logical rules for the information that guides these partnerships.”
He continued, “The industry is devoting a great deal of time and attention to the data interoperability and visualization stages of the data journey. What Ursa has done is address the massive gap between the two: first making data interpretation faster and more accurate through our no-code platform and Core Data Model, and now enabling the seamless exchange of this interpreted information. Sharing these analytic building blocks enables partner organizations to more precisely anticipate, deliver, and assess value.”
The Ursa Core Data Model is a versatile, reporting-ready hierarchical data structure that comes as a standard component of every Ursa Studio implementation. Risk-bearing entities and the companies providing them with specialized solutions — for example, for behavioral health or disease-specific population health — can use this model to benefit immediately from Ursa Health’s deep and proven data science expertise.
Pre-built connectors clean and integrate source data from claims, electronic medical record (EMR), billing, and other systems. This data is then enriched with reference material from across healthcare in preparation for synthesis. Rather than beginning their analytics process with extensive data cleanup work, organizations can get started right away with ready-to-use tables that cover a wide range of useful concepts, from encounters and clinical episodes to provider attribution models and timelines of patient risk and disease status. This adaptable structure then provides the foundation for a library of measures that can not only answer industry-standard questions but also simplify the process of creating custom innovation insights, saving organizations years of build time.
With the addition of the import/export feature in version 5.0, Ursa Studio applies this same modular approach to any piece or even large groupings of logic around patient cohorts, episodes, key performance indicators, outcome evaluations, and more. For example, organizations can, with just a click, automatically deploy a new content module onto an existing Core Data Model infrastructure, extending its utility with important data tables, measure logic, and documentation. Additional content modules are available from Ursa Health’s library or can be custom authored.
The benefits of this reuse and sharing capability vary depending on the type of organization that uses Ursa Studio. For risk-bearing entities, the ability to download content developed and tested by industry experts and innovative solution companies eliminates the need for months-long internal builds while it expedites the process of finding and evaluating new partners. Solution companies, on the other hand, can easily share the innovative logic built for one client with separate instances of Ursa Studio, keeping their clients’ data separate and secure yet leveraging centrally maintained analytics.
“The ability to immediately download and use a module of content is hugely valuable from an efficiency perspective,” Dr. Clarke said. “Even more exciting, however, is that these content sets don’t have to be the endpoint for an organization. Instead, they can be fully customized to any specific environment or population, without the need for time-consuming SQL coding. This is a critical component of producing analytics that are relevant and trusted by those who need to act on the information.”
A sample of Ursa Studio content modules include CKD Management, Medicare Part D Spend, Readmissions Diagnosis, Care Pathways by Risk Stratum, Site of Care Optimization, Medication Therapy Management/Adherence, Diabetes Management, Skilled Nursing Facility Network Management, HCC Risk Score Calculations, and Practice Optimization.
To learn more about Ursa Studio and the ways in which the Ursa Core Data Model and no-code technology help organizations quickly unlock the value in their data, watch our video here.
