Originally founded as a health care consulting firm, Equation’s distinctive scientific, data-driven consulting approach to health care ultimately evolved into the development of its cloud-based health care business intelligence analytics platform, DataRiver™. nThrive’s DataRiver analytics platform will now act as the analytic model from which its end-to-end business solutions will grow and develop.

“DataRiver’s unique approach to healthcare analytics will be seamlessly infused across all nThrive’s products and services,” explained Tom Ormondroyd, president of education and analytics, nThrive. “The decades of consulting knowledge, proprietary algorithms, and methodologies will act as a catalyst to further fortify our already strong product base.”

DataRiver is unlike typical analytics solutions in that it takes a holistic approach to data by acting as a virtual data warehouse. A health care organization’s disparate billing, general ledger, payroll system, and EHR data is fed directly into DataRiver where it is integrated, cleaned, and mapped to create one analytical data model. nThrive’s algorithms are applied and data visualizations are made available through three analytic views: Discovery Dashboards, WebExcel, and WebSQL. These views help to drive improvements in productivity, quality of care, cost as well as market growth for health systems, hospitals, and physician practices alike.

By focusing on analytic-driven applications and processes, the nThrive offerings will deliver the competitive advantage necessary for health care providers to thrive in the face of value-based care. Health care systems, hospitals, and physician groups will have the analytic tools to make better informed strategic decisions that encompass the entire health care continuum.

“The integration of deeper analytics, as a part of nThrive’s offerings, will enable health care organizations to generate actionable insights from historically untapped data sources,” said Trevor Kobe, president of analytics, nThrive. “We are excited about using analytics to improve the financial and operational success of health care organizations.”

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