As community response programs transition from pilot initiatives to more sustained public investments, reliable data and evidence-based performance metrics are essential. A clear case for return on investment can help your program justify continued funding and long-term expansion.
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.
When partnering to implement evidence-based practices (EBP) in your community, there are a number of real-world factors to consider. You might even find yourself asking, what does EBP truly look like in action? For a moment, consider these scenarios:
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.
