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

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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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Community Response Solutions for Opioid Settlement Funds

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To effectively monitor, evaluate, and continuously improve local opioid crisis response efforts, cities and counties should implement a coordinated strategy for the systematic collection, integration, and use of data. This article outlines key data domains, common data sources and analytical strategies that will support evidence-based decision-making and help to design more informed strategies for community opioid response.

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AI-Powered Privacy-First Data Management

   

One of the most persistent challenges facing data managers, data information officers, data stewards, and data risk or compliance officers is determining the right evidence-driven systems and strategies for collecting, managing, sharing and publishing sensitive subject information. And, doing so in a way that meets agency privacy and regulatory requirements is a chief priority. When tackling these issues, a privacy-first approach offers solutions with clear benefits for consumers and institutions.

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