The Case for Community-Focused Case Management in Law Enforcement

Law enforcement agencies are increasingly on the front lines of behavioral health crises. Teams like co-responders, CIT units, and crisis intervention specialists are responsible for bridging the gaps between public safety and behavioral health in the community—but the complexity of their work often goes unsupported even with the right tools. This article will identify some of the core reasons we believe law enforcement agencies need to be equipped with case management solutions that are specialized for community response.

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AI-Powered Privacy-First Data Management

   

One of the most persistent challenges facing data managers, data information officers, data stewards, and data risk or compliance officers is determining the right evidence-driven systems and strategies for collecting, managing, sharing and publishing sensitive subject information. And, doing so in a way that meets agency privacy and regulatory requirements is a chief priority. When tackling these issues, a privacy-first approach offers solutions with clear benefits for consumers and institutions.

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Private AI Sandboxes Spark Justice Innovation

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Let's take a closer look at the important role of private AI systems as a driver for innovation in public safety, justice and interagency human services collaboration. While cloud-based AI models foster innovation, transparency, and broader participation, unrestricted openness can introduce substantive risks.

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Demonstrating ROI in Law Enforcement Deflection Programs

In this article, we identify some of the factors impacting return on investment for local government adoption of evidence-based strategies in law enforcement de-escalation and deflection from incarceration and/or emergency hospitalization, where appropriate.

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