Improving Population Health

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Challenges facing agencies

A report by Christopher Teixeira and Matthew Boyas, MITRE, under a project for the Assistant Secretary for Planning and Evaluation (ASPE) at the Department of Health and Human Services. The report explores the state of the use of predictive analytics in child welfare by conducting an environmental scan of child welfare agencies, academia, nonprofit organizations, and for-profit vendors.

Massachusetts Opioid Solutions Workshop

MITRE led one of 34 projects in the innovative Massachusetts public health study which brought together some of the foremost thinkers on opioid addiction today to discover new possibilities, create unexpected opportunities, and collaborate with the state to overcome the opioid crisis. Learn more about the Workshop and its findings.

Challenges facing agencies

Child welfare agencies are interested in leveraging new and emerging techniques to help them harness data and technology to make dramatic improvements to child welfare practice and ultimately produce better outcomes for children and families. This document explores the state of the use of predictive analytics in child welfare by conducting an environmental scan of child welfare agencies, academia, nonprofit organizations, and for-profit vendors.

Agencies: Use our tool

Predictive analytics is increasingly seen as a technology that can improve child welfare outcomes, turning hindsight into insight and insight into value. This tool will guide the user through a series of criteria to help determine whether predictive analytics is an appropriate approach for the child welfare question you are considering.

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By working through these challenges together across government, public and private entities, and academia, we can solve problems for a safer world.

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