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.
Just a few months ago, a market leader in artificial intelligence for consumer use announced the release of a new AI chatbot solution for government. Unlike its consumer-facing counterpart, this product was developed with public sector compliance, data security, and regulations in mind. This reflects a growing demand for AI in government services, where agencies must balance innovation with strict standards for privacy, accountability, and security.
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To effectively monitor, evaluate, and continuously improve local opioid crisis response efforts, cities and counties should implement a coordinated strategy for the systematic collection, integration, and use of data. This article outlines key data domains, common data sources and analytical strategies that will support evidence-based decision-making and help to design more informed strategies for community opioid response.
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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.
