All results for "data sharing"

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Data-Driven Efforts to Improve Housing Coordination for People Experiencing Homelessness

Allegheny County established a coordinated entry system to prioritize the most vulnerable homeless clients to get them into housing as quickly as possible.

People working together to place a puzzle piece

Improving Prioritization of Housing Services: Implementation of the Allegheny Housing Assessment

Allegheny County, like many communities across the country, does not have sufficient long-term supportive housing to serve every person or family meeting the criteria for homelessness. Although the County’s Continuum […]

Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks

The National Center for Education Evaluation and Regional Assistance at the Institute of Education Sciences (US Department of Education) examined data from Allegheny County students to better understand predictors of […]

Allegheny County Data Warehouse

View information about the Allegheny County Data Warehouse, which brings together and integrates client and service data from a wide variety of sources both internal and external to the County.

Linking Data to Improve Human Services Delivery: Podcast

How is the Allegheny County Department of Human Services (DHS) able to link data across programs and with providers, given privacy law restrictions? Erin Dalton, Director of DHS, and Brian […]

Child Welfare Leadership Fellows: Using Data to Improve the Lives of Children and Families

Twenty-seven child welfare professionals participated in the first year of the Leadership Fellows program, learning how to use data to 1) identify issues that negatively impact children and families in […]

Improving Education and Well Being Outcomes: August 2015 Update

By the spring of 2015, 16 school districts, Propel Schools and the Allegheny Intermediate Unit had signed legal agreements with the Department of Human Services (DHS), allowing data to be […]

Sharing Data to Support Homeless Students in Allegheny County

Schools districts and human service systems define homelessness differently (as mandated by their respective regulatory and funding entities), resulting in many youth who are known to only one system. While […]

ACHIEVE After-School Program

The ACHIEVE after-school program evolved from DHS’s data-sharing agreement with the Pittsburgh Public Schools and was designed as an intervention for under-performing middle school students who were also involved in […]

Improving Educational and Well Being Outcomes: August 2013 Update

In the third year of the agreement that allows the Pittsburgh Public Schools (PPS) and Department of Human Services (DHS) to integrate data, collaboration extended beyond DHS and local school […]

Gaps in School Achievement: Human Services Involvement in Clairton City Public Schools

In January 2012, DHS and the Clairton City School District signed a Memorandum of Understanding (MOU) to share student data. The partnership built on previous work to share data between […]

Human Services: Sustained and Coordinated Efforts Could Facilitate Data-Sharing While Protecting Privacy

U.S. Government Accountability Office The U.S. Government Accountability Office examined four innovative data sharing practices (including DHS’s) to determine (1) how selected states or localities have shared data across programs […]

Improving Educational and Well Being Outcomes: July 2012 Update

The second year of the agreement that allows the Pittsburgh Public Schools (PPS) and Department of Human Services (DHS) to integrate data brought opportunities to improve school performance of children […]

Framework For Collaboration: Integrating School and Human Services Data In Pittsburgh

OCD | Developments by the University of Pittsburgh Click to read the full report.

Disparities in Achievement: Human Services Involvement of Children in Pittsburgh Public Schools

A data-sharing agreement between the Pittsburgh Public Schools (PPS) and the Allegheny County Department of Human Services (DHS) now makes it possible to integrate and analyze student data from the […]