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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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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Funding Challenges Threaten Community Response Programs Nationwide

111Picture1.jpg 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.

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Evidence-Driven, Ethical Solutions for PII & PHI Data Management

security-8631857.jpgPrograms 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. 

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