Using Integrated Data Systems to Improve Case Management and Develop Predictive Modeling Tools

How a county and a state are using IDS data and predictive modeling to help case managers identify the most-at-risk families and individuals and improve child welfare and health care outcomes

This case study is one in series of briefs that show how to invest in and use integrated data systems (IDS) in local jurisdictions to improve policies, programs and practice. This brief discusses how Allegheny County, Pennsylvania, and Washington state each used an IDS to develop predictive modeling tools that expedited services and saved taxpayer dollars. These tools helped frontline caseworkers prioritize services for the child welfare and Medicare and Medicaid caseloads. The series highlights the value of developing IDS in local jurisdictions, describes the innovative uses of IDS data, how it shapes decision-making on the ground and how it improves outcomes for vulnerable children, families and adults.

April 25, 2017

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Integrated Data Is Key to “Pay for Success”

How a county government uses integrated data to improve services for homeless mothers and their children and implement a pioneering public-private funding partnership

This case study is one in a series of briefs that show how local jurisdictions can invest in and use integrated data systems (IDS) to improve policies, programs and practice. This case study presents a public-private partnership in Cuyahoga County, Ohio, using an IDS to design, finance and evaluate a program to help homeless mothers reunite more quickly with their children placed in foster care. 

April 25, 2017

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Using Integrated Data Systems to Improve Child Welfare Outcomes

How two states are working to improve outcomes for children in foster care through the strategic use of integrated data

This case study is one in series of briefs that show how to invest in and use integrated data systems (IDS) in local jurisdictions to improve policies, programs and practice. This brief discusses the improved outcomes for children in foster care being created by the states of Wisconsin and Washington through the strategic use of integrated data from their child-focused systems: child welfare, child support enforcement and Temporary Aid to Needy Families (TANF).

April 25, 2017

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Using Integrated Data Systems to Strengthen Collective Impact in Out-Of-School Programs

How nonprofit organizations in two localities use IDS data to improve their enrollees’ school performance and strengthen collective impact

This case study is one in a series of briefs that show how to invest in and use integrated data systems (IDS) in local jurisdictions to improve policies, programs and practice. This brief presents out-of-school collective impact initiatives in North Carolina and Texas and their use of data from a local IDS to improve educational outcomes for their enrollees and allocate resources more effectively.   

April 25, 2017

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