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 […]
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
Since 2017, the California Health and Human Services (CHHS) Agency and the Children’s Data Network (CDN) at the University of Southern California have partnered to improve services for and generate knowledge about the citizens of California through data sharing and integration. With support from the AISP Learning Community initiative, CHHS and CDN first conducted a
Case Western Reserve University’s Child Household Integrated Longitudinal Data (CHILD) system covers children and young adults living in Cuyahoga County beginning with the 1989 birth cohort. Data from numerous agencies (approx. 35) are linked at the individual level and allow the University’s Center on Urban Poverty and Community Development and their agency data partners to
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In 2007, nine Los Angeles County Departments entered into an agreement to share comprehensive information on the multi-system service utilization patterns of people receiving a county-funded cash assistance program. That project, now known as the Enterprise Linkages Project (ELP), was eventually expanded across a spectrum of publicly funded health, mental health, social and corrections services
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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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