This brief 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. The human services departments in Allegheny County, Pennsylvania and Washington state are leaders in using an integrated data system to develop predictive modeling tools used by frontline case managers in the child welfare system and in the Medicare-Medicaid systems. These departments also share IDS data with their service provider networks to empower caseworkers and improve service coordination.

April 25, 2017

Integrated Data Briefs

In This Report, You’ll Learn

  1. 1

    How Allegheny County and Washington state each use an IDS to develop predictive modeling tools.

  2. 2

    How predictive modeling tools help frontline caseworkers identify the neediest clients and allocate resources more effectively.

  3. 3

    How caseworkers in Allegheny County and Washington state use integrated data to improve service coordination.

Key Takeaway

Integrated Data Systems are the perfect tool for developing Predictive Risk Models

Predictive risk modeling examines large, detailed amounts of de-identified data to determine past patterns in order to predict future outcomes. Because they link large data sets from multiple systems, an IDS offers a robust source for developing predictive risk models — and related tools — that can help frontline caseworkers make faster, more consistent and more evidence-based decisions.   

Findings & Stats

Statements & Quotations