Infoverity and Databricks help healthcare organizations modernize analytics with a value-based approach that moves teams from slow, manual, high-risk reporting to a scalable platform with unified governance and efficient performance.
What sets us apart is where we start. Many analytics and AI initiatives struggle because the data foundation is complex and manual, with challenges like manually maintained flat files, long refresh cycles, evolving schemas, and extensive quality checks that slow everything down and weaken trust.
The result is measurable. MVP Health Care reduced monthly HEDIS vendor refresh processing time from about 18 days to about 7 hours, a 98% reduction. VirtuAlly reduced onboarding time from about 10 minutes to 1 to 2 minutes per patient, an estimated 80 to 90% improvement, and increased patient monitoring throughput by 30 to 50% by replacing manual spreadsheets with automated, governed KPI logic and real-time dashboards.
Our approach is outcome-driven from day one. We align on current state, define success, and build a pragmatic roadmap from pilot to production using Databricks capabilities that support efficient TCO, unified governance, and AI-powered delivery.
Databricks helps enterprises with Data and AI by reducing platform sprawl and complexity. Instead of running separate systems for data lakes, warehouses, ETL, BI, and AI, teams can standardize on one foundation to lower costs, shorten time to value, and simplify operations.
It also helps organizations meet enterprise requirements like consistent governance, lineage, and security across the full data lifecycle. This reduces risk created by fragmented controls, limited traceability, and inconsistent policies across tools and teams.
Finally, Databricks supports getting AI into production, including AI agents, by tightening the integration between the data platform and AI workflows. The result is less development friction and lower production risk when moving from experimentation to reliable, scalable delivery.
VirtuAlly supports high-risk patients who require continuous 24-hour monitoring, but critical onboarding and operational tracking workflows were running on manually maintained Excel spreadsheets. In this case study, see how VirtuAlly partnered with Infoverity and Databricks to modernize those workflows with a centralized, governed platform and automated KPI dashboards, driving a 30 to 50% increase in monitoring throughput while improving speed, accuracy, and KPI visibility across shifts and locations
Deployed and configured individually for each client’s data environment, product mix, and business rules on Snowflake.
A brief bio about Tanner. At Informatica (NYSE: INFA), we believe data is the soul of business transformation. As the Enterprise Cloud Data Management leader, we empower businesses to realize the transformative power of data. We have pioneered a new category of software, the Informatica Intelligent Data.
