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Upcoming Events

Overview

Validating data from Health IT systems is the cornerstone of effective Health IT Enabled QI. Ensuring that Health IT-generated reports and data reflect an accurate picture of the care and outcomes of your population ensures that data is actionable for quality improvement, monitoring as well as many other purposes. This validation must be ongoing as system , provider, workflow, and other changes, can all impact accuracy of data. This section provides worksheets, guides, and tips for validating data.

Data Accuracy Resources
Event date: 5/6/2026 1:00 PM - 2:00 PM Export event
HITEQ Admin
/ Categories: Health IT & QI Workforce, Privacy and Security, Priority Topics, Webinars, Archived

HITEQ Skill Builder Series | Building Tomorrow's Health Center Health IT and Data Systems, Today

Reflect & Connect I: Navigating AI Implementation in Health Centers: Policies, Practices, and Oversight

Session Description: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.

*Health Centers only - These 4 Reflect and Connect sessions will be limited to the first 60 who register. There will be a waitlist.

Series Description: 
This learning pathway is a comprehensive, structured series designed for health center leaders and IT professionals focused on the future of their organization's technology infrastructure. This progression guides participants through the strategic considerations, best practices, and innovative approaches to designing and implementing robust Health IT and data systems. Moving from foundational principles to advanced concepts, the series covers topics such as system interoperability, data governance, scalable architecture, and leveraging emerging technologies to enhance patient care and operational effectiveness. By the end of this pathway, you will have a clear roadmap for building a resilient, integrated, and future-ready health IT ecosystem.

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Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.