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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
Health Information Technology support for HIV Screening and Prevention Services
HITEQ Center

Health Information Technology support for HIV Screening and Prevention Services

Environmental scan for Ending the HIV Epidemic

In 2019, as part of the Ending the HIV Epidemic initiative HITEQ conducted an environmental scan to determine the role of EHRs and health IT in health center capacity and ability to expand HIV screening and prevention. HITEQ reviewed existing data and existing literature, and conducted 15 interviews with health centers and health center partners. The results are structured as a SWOT analysis, outlining strenths and weaknesses internal to health center health IT systems as well as opportunities and threats, factors that are external to health centers. Download the full document below.

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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