Health Systems Dashboard

Explore health systems and how they are performing.

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Purpose

The Health Systems Dashboard helps states and health care leaders better understand health systems. The dashboard provides state level information on systems including specific hospital affiliations and performance. Specifically, the dashboard features an “Explore Systems” functionality to illustrate which hospitals within systems have higher- or lower-than-average readmission rates across six health conditions.

Users can examine hospital readmission performance within individual health systems, across systems within a state, and by ownership type (church operated, for profit, nonprofit, or publicly owned). It also lets users filter for eight other characteristics of interest to policymakers that can impact performance. In addition, users can examine the “Compare States” functionality to understand and compare the characteristics of system-affiliated hospitals between states using multiple sort options and geographic views.

The dashboard uses an innovative user interface and user experience design that enables users to combine and compare multiple data options to ultimately create data visualizations offering new insights. This effort brings together for the first time three important sources of publicly available data: the Agency for Healthcare Research and Quality’s Compendium of U.S. Health Systems, hospital-level readmission measure data from the Centers for Medicare & Medicaid Services’ Hospital Compare, and the Centers for Medicare & Medicaid Services’ Hospital Cost Report data.

We’d like to acknowledge the following team members who contributed to the development of this dashboard: Ellie Irish, Elena Jimenez, David Jones, Rachel Machta, Aaron Marden, Trevor Marshall, Randy Morantes, Shruthi Ramesh, Eugene Rich, Caitlin Snyder, Jeff Whitley, and Fei Xing.

Meet the Team

Ellie Irish

Ellie Irish

Senior Software Engineer

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Elena Saavedra Jimenez

Elena Saavedra Jimenez

Senior User Experience Designer

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David Jones

David Jones

Principal Researcher

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Rachel Machta

Rachel Machta

Senior Researcher

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Eugene Rich

Eugene Rich

Senior Fellow

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Fei Xing

Fei Xing

Director of Data Analytica

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