Government and public health agencies have long relied on healthcare data to inform policy and funding decisions. Yet, despite growing access to large data sets like claims and electronic health records, these agencies often struggle to extract meaningful, action-ready insights. This is because the data are typically fragmented, stored in nonstandard formats, plagued by quality issues, and missing the higher-order concepts needed for effective analysis.
Today, Mathematica and Tuva Health are announcing a partnership to solve this challenge by increasing access to open-source data transformation and enrichment tools.
For years, Mathematica has been a leader in healthcare data and analytics, developing innovative algorithms that identify chronic conditions, compute quality measures, and have many other value-based care and real-world evidence use cases. Recently, Tuva Health has emerged as one of the fastest-growing companies in the market with the introduction of its open-source data model, which is specifically designed for healthcare analytics and now in use by more than 50 leading providers, health plans, and Accountable Care Organizations across the United States.
With this partnership, Tuva Health will incorporate Mathematica’s industry-leading algorithms to run automatically on top of the Tuva data model. Mathematica—which delivers useable evidence, scalable data solutions, and real-time analytics that boost efficiency, strengthen accountability, and drive results—will tap into Tuva Health’s open-source data model to augment its analysis of population health data. As a result, organizations working with Mathematica or Tuva Health will benefit from having Mathematica’s algorithms and insights more readily accessible in the industry-standard Tuva data model, which will generate higher-quality insights faster through reduced time and resources to complete costly data engineering work.
“Our mission is to democratize access to high-quality healthcare analytics,” said Aaron Neiderhiser, co-founder and CEO of Tuva Health. “We believe healthcare organizations should stop paying for critical healthcare analytics infrastructure that should really be a commodity. This is even more true for government and public health agencies that are facing budget challenges.”
Mathematica has already started implementing the Tuva data model on its analysis projects.
“Our partnership with Tuva Health enhances the capabilities of both teams to support healthcare analytics that improve health outcomes through our analysis of all-payer claims databases and commercial claims,” said Ngan MacDonald, data innovations director at Mathematica. “The collaboration will accelerate our discovery of insights and efficient delivery of analytics, giving health organizations and public agencies an advantage in their decision making.”
