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.
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.
80% of the information collected in enterprise case management systems can’t be retrieved in a useful way. In addition, platforms lack capacity to manage some of the most useful information associated with case processes and outcomes. This leaves critical gaps in team learning, feedback, and real-time problem solving capability. Here are just a few of the most serious issues human services agencies encounter with leading case management platforms.
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.
