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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.
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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When managing complex interagency collaborations, some pursue a vision of a universal data systems merger, a single platform that links law enforcement, justice, health, and human service data systems into one universal system. This model may appeal to those seeking to reduce or eliminate data entry and duplication, and to streamline communications. Yet, in practice, universal human services data systems integrations often fail to launch and fail to keep promises. Here’s why.
Programs serving protected or vulnerable populations must ensure that sensitive personal information is handled with the highest level of care. Whether supporting youth, justice-involved individuals, families in crisis, pregnant women, or people receiving health and social services, protection of PII is a core ethical and safety issue.
