Universal Human Services Data Systems Mergers Often Fail — Here's Why Targeted Interagency Data Sharing Works

- Reading time: 4 minutes

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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.

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Comparing Public Sector AI Solutions on Security, Compliance and Privacy

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

- Reading time: 5 minutes

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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