Privacy & Security

Addressing the non-medical drivers of health is essential for improving patient outcomes. This training shared lessons learned and promising practices for embedding social drivers of health into your EHR and clinical workflows. Participants learned how to effectively capture this critical information and how to act on it to provide more comprehensive, whole-person care.

This sprint established the  ongoing measurement and governance loop that ensures AI tools remain safe, effective, fair, and  aligned with organizational goals after deployment.

This sprint tested whether a selected AI use case improves work without introducing hidden safety or usability risks, emphasizing human AI interaction, clear role boundaries, and transparency in how outputs are generated and used.

This sprint converted general AI principles into a minimum viable governance operating model for each health center that defined how AI tools are approved, monitored, and held accountable across their lifecycle.

This sprint determined whether each health center has the data, workforce, and operational foundation to adopt AI safely, and where AI can create immediate value when starting with clearly defined problems.

The quality of your documentation today directly impacts your readiness for the technologies of tomorrow. This training focused on how to leverage health IT tools to increase documentation integrity, building a strong foundation for future innovations like interoperability, AI, and predictive analytics.

This session helped participants shift from readiness to proactive management by developing concrete strategies for tailoring AI use by role and within their organization. An expert panel discussed policies that support ethical use, maximize value, and create adaptable systems to withstand the AI frenzy.

This foundational webinar explored how to create a strong connection between your technology and your organizational goals to maximize resources and enhance patient engagement.

This session had a panel discussion to uncover what AI is truly capable of today across clinical, administrative, and financial domains, and where it has limitations. Attendees heard how health centers are evaluating new technologies in this quickly evolving landscape.

Establish a solid foundation for your health center's AI journey by learning how to assess your current state and build an organizational framework for AI adoption. This session provided a practical roadmap for creating a strategy that ensures your AI decisions are mission-aligned, and we heard how this is being put into action by health centers in Maine.