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There is a significant gap in real-world evidence (RWE) supporting the effectiveness of many public sector and community-based programs. As a result, critical frontline initiatives often lag in building a data-driven evidence base. To fully realize the benefits of real-world evidence, agencies must prioritize end-to-end compliance and ethical data management.
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.
Why One-Size-Fits-All Doesn’t Work for Crisis Intervention Programs
No two communities are exactly alike.
Field observations recorded as contact notes provide the most predictive data for future calls for service, behavioral health crises, and public safety risks. Whether robustly collected at an initial contact or compiled across repeated interactions, field-contact notes offer critical details for harm reduction, de-escalation, diversion, referral, and case planning.
