HITEQ Resources & Events

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 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.