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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
Bright Spots in HIV Screening
HITEQ Center
/ Categories: Ending the HIV Epidemic

Bright Spots in HIV Screening

Health center examples, developed June 2022

Since 2020, health centers have reported the HIV Screening clinical quality measure on Table 6B of the UDS. This measures the portion of medical patients aged 15 through 65 who have at least one HIV test recorded between their 15th and 66th birthday. HITEQ hosted discussions with health centers in fall of 2021 to find out how they have made progress on this particular clinical quality measure. Download the document below for tips from those discussions that may help other health centers improve their HIV screening implementation.

Documents to download

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Tags: UDS Measures Ending the HIV Epidemic HIV screening HIV testing

Related Resources

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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