Case Management Software is Falling Short— Today’s Human Services Agencies Need More

office-desk-6952919.jpg80% 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.

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What Interagency Human Services Teams Need to Look for in Technology Adoption

feedback-3653368 (2).jpg Adopting new technology can transform how human services, justice, and health agencies collaborate to engage communities and transform lives. Technology has evolved and most legacy data systems fall short of supporting today’s multi-disciplinary and interagency teams—limiting their ability to coordinate care.

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What’s Next after Sequential Intercepts Model Mapping: Technology Solutions for Interagency Partners

Agency (1).png When communities adopt a coordinated data collection plan across Sequential Intercepts, they gain essential insights on community need and service efficiency. Yet, many communities lack the data infrastructure needed to track progress, monitor implementation, and inform ongoing decision-making. Without dedicated data infrastructure, practitioners often find themselves asking a familiar question after the mapping process concludes: “What’s next?”

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AI-Powered Insights for Public Safety: Innovations in Case Planning


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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