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
The Rhode Island Ecosystem is using integrated data to improve agency performance and operational analytics, quality improvement, and data-informed decision making among EOHHS and partner Rhode Island agencies. The Ecosystem, which was supported in its early stages by the AISP training and technical assistance Learning Community program, is comprised of an Executive Team of approximately
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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 Philadelphia Office of Integrated Data for Evidence and Action (IDEA) is a central component of Philadelphia’s Office of the Managing Director. IDEA collects, links, analyzes, and reports on social services data to provide public officials, policymakers, and practitioners with accurate, timely information to help them make data-driven decisions.
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 mission of the Center for Innovation through Data Intelligence (CIDI) is to conduct inter-agency research to identify areas of service need in the City of New York. CIDI collaborates with all Health and Human Service (HHS) agencies and other City partners to promote policy change that improves services for all New Yorkers. To ensure
The Research and Data and Analysis Division (RDA) of the Washington State Department of Health and Human Services provides data, analytics, and decision support tools to improve services and transform lives. RDA’s Integrated Client Databases (ICDB) comprise a federated set of longitudinal databases with two decades of detailed risk, service utilization, expenditure, and outcome data
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Chapin Hall’s Integrated Database on Child and Family Programs operated in Illinois from 1995-2024. The integrated data system connected administrative data on individuals and families from a number of human service partners to paint a portrait of the families who come into contact with child and family serving agencies. Chapin Hall was known as a
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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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