Modernizing Data Systems in Environmental Public Health: A Blueprint for Action
Section 6: Emerging Strategies and Technologies in Data Modernization
As expertise in data modernization grows, EPH professionals are well-posi- tioned to address advanced topics that keep data practices secure, efficient, and strategically aligned with broader organizational goals. This section provides an overview of emerging technologies and advanced practices that represent the next frontier in environmental health data modernization. While these topics are beyond the scope of basic implementation, they offer significant opportunities for agencies that are ready to push the boundaries of what is possible with da - ta-driven public health practice. This section is not intended as a comprehensive overview, but rather as a primer for exploration. EPH professionals and leaders interested in advancing their technical capabilities are encouraged to seek ad - ditional training, partnerships, and resources to deepen their understanding of these evolving areas. Secure Organizational Artificial Intelligence The deployment of AI within an organization's secure internal platforms en - hances data analysis, predictive modeling, and process automation while maintaining strict data security standards. Hosting AI applications internally allows organizations to significantly reduce the risks associated with external data exposure and unauthorized access. Secure AI requires system integration within protected infrastructures, strict access controls, and regular security au - dits. Clear organizational policies, documentation of AI-driven decisions, and ongoing monitoring are essential to ensure transparency, ethical use, and bias mitigation. Staff training on the secure and appropriate use of internal AI tools is crucial for maximizing benefits and minimizing risks. Example: A city health department builds an internal AI tool trained on its food inspection records. Hosted on a secure local server, the system helps prioritize high-risk food establishments by analyzing past violations, neighborhood complaints, and inspection frequency, all while keeping sensitive data protected from external exposure.
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