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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: 11/17/2021 3:00 PM - 4:00 PM Export event
HITEQ Center

Improving UDS Clinical Quality Measure Performance: Increasing HIV Prevention in Primary Care

HITEQ Highlights Webinar

Introduction

Primary care plays a key role in ending the HIV epidemic. The Ending the HIV Epidemic initiative launched across HHS in 2019, setting forth four key strategies also called the “four pillars” of ending the HIV epidemic. Primary care in health centers figures centrally into these efforts, evidenced by the addition of several HIV screening and prevention measures and metrics in the Uniform Data System (UDS) reporting. 

Who should review?

Health center staff (clinicians, quality managers, and others) interested in improving HIV screening and prevention in the primary care setting.

What should attendees expect?

This webinar reviewed HIV screening and prevention, including HIV Screening, PrEP management, and linkage to HIV treatment, UDS reporting as well as a data deep dive and available data dashboards. Opportunities for HIV-related quality improvement in the health center primary care setting were also identified.

 

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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.