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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: 3/12/2026 2:00 PM - 3:00 PM Export event
HITEQ Learning Series | Practical and Proactive Approaches to AI Readiness for Health Centers
HITEQ Admin
/ Categories: Priority Topics, Webinars

HITEQ Learning Series | Practical and Proactive Approaches to AI Readiness for Health Centers

Session 2: Out of the Shadows: How AI Is and Isn’t (Yet) Being Used in Health Centers

Session Description: Join us for a panel discussion to uncover what AI is truly capable of today across clinical, administrative, and financial domains, and where it has limitations. Hear how health centers are evaluating new technologies in this quickly evolving landscape.

Series Description: In the midst of rapid change and industry hype, this three-part series is designed to be your foundation, equipping your health center to confidently move beyond speculation and manage AI in ways that directly align with your core mission and goals. This foundational series will also seamlessly lead into our upcoming Skill Builder Series, which will feature an AI-focused community of practice for health centers to share and learn together.

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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.