Privacy & Security

Join your peers for a deep dive into the practical and ethical dimensions of artificial intelligence in this four session learning collaborative. Through expert-led sessions and peer-to-peer discussion, we will explore key operational areas, from procurement and clinical documentation to patient-facing applications and revenue cycle operations.

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 training will share lessons learned and promising practices for embedding health-related needs screening into your EHR and clinical workflows. Join us to learn how to effectively capture this critical information and how to act on it to provide more comprehensive, whole-person care.

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.