Vermont has started the process of linking together Medicaid claims data with vital statistics and incarceration data. We continue to work to improve the linkage as well as look for opportunities to incorporate additional data. Vermont is currently in the planning stages of an agency-wide data project looking at the people placed in hotels during […]
The Indiana Management Performance Hub (MPH) provides analytics solutions tailored to address complex management and policy questions, enabling improved outcomes for Hoosiers. The office serves as a data resource for partners throughout state government looking to leverage data in innovative ways and make data-driven decisions. MPH also provides robust open data for external stakeholders and
Wisconsin’s Administrative Data Core was developed by the University of Wisconsin-Madison’s Institute for Research on Poverty (IRP), evolving from a series of large-scale evaluation projects conducted for the state starting in the 1980s. This extensive IDS, which now includes data from multiple agencies, (e.g., child welfare, health services, corrections) allows for cross-program comparisons and analysis
King County, Washington, home to Seattle and several other large cities and rural areas, has created an integrated data hub for health and human services that supports cross-departmental client-level reporting and analysis. Since 2017, the team has developed a robust identity matching and mapping process, using Informatica tools, for three core health and homelessness data
The Health and Demographics Section of the South Carolina Revenue and Fiscal Affairs Office makes government better by turning data into information and information into knowledge. The office works with partners across the state to:
The Allegheny County Data Warehouse brings together and integrates client and service data from a wide variety of sources. It was created by consolidating publicly-funded human services data (e.g., behavioral health, child welfare, intellectual disability, homelessness and aging) and, over time, expanded to include data from other sources. The Data Warehouse was designed primarily to
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