AI-Powered Insights for Public Safety

Caption: AI Solutions Boost Public Safety Capacity to Record and Retrieve Information

Over the past two decades, justice, law enforcement, and behavioral health agencies have been expanding to include new community-based roles focused on coordinating referrals across justice intercepts with local agencies and supportive services. 

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Why we think law enforcement need case management solutions that are tailored for community response

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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Improving Community Responses to Mental Health Crises: Key trends from a recent study of law enforcement calls for service and strategies for improved outcomes

Caption: A 2022 review of mental health-related calls for service (CFS) in a rural Virginia region, reveals a 10% increase in call volume over three years, with the sharpest growth (47.6%) in rural townships. The review highlights the need for comprehensive local data systems mapping, noting that over 30% of mental health crisis calls were not reported in call type search.

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AI-Powered insights for public safety: Innovations in case planning to improve justice outcomes


CAPTION: AI-POWERED INSIGHTS FOR PUBLIC SAFETY

Justice-involved individuals should receive the appropriate level of care, provided in the least restrictive way possible, facing mental or other behavioral health crises. Prompt identification of risks and needs, such as access to public documents, housing security, family and social support challenges, and peer associations, can be critical to ensuring the appropriate level of care is provided. Here, we explore ways AI can assist in the facilitation of risk and needs-based assessment in the field to promote positive outcomes.

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