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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: 5/30/2019 3:00 PM - 4:30 PM Export event
HITEQ Highlights: Addressing Childhood Obesity in Health Centers

HITEQ Highlights: Addressing Childhood Obesity in Health Centers

This webinar focused on how to improve child weight screening, nutrition and physical activity counselling, and design appropriate and meaningful interventions according to health center peers. Discussion and demonstrations of how you may be able to optimize your EHR to encourage accurate and complete collection of required data, and identify children who may need intervention also took place.  A number of tools that support this quality improvement around addressing child weight and potential for obesity were discussed, including Bright Futures guidance and data validation tools from HITEQ.

Documents to download

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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.

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The Quadruple Aim
Quadruple Aim

A Conceptual Framework

Improving the U.S. health care system requires four aims: improving the experience of care, improving the health of populations, reducing per capita costs and improving care team well-being. HITEQ Center resources seek to provide content and direction aligned with the goals of the Quadruple Aim

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