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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
HITEQ UDS Clinical Analysis Dashboard
HITEQ Center

HITEQ UDS Clinical Analysis Dashboard

This webinar discussed and demonstrated the newly developed web-accessible dashboards for the HITEQ UDS Clinical Quality Analyses.  The dashboards contain a variety of visual and data views of the information reported in the UDS across time and across measures, providing both individual and network organization levels of content, including comparison to other groups of health centers.  The information presented is specific to the organization that is logged in and content will vary based on the type of organization.  The webinar covered accessing the dashboards, the content available, manipulating the views, interpreting the results, and where to find additional tools and resources based on the information found. 

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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