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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 Center
/ Categories: Health IT Enabled QI, Health IT & QI Workforce, UDS Resources, Video Library

Accessing and Reading Electronic Clinical Quality Measures (eCQMs) for UDS

Video overview, published in Oct. 2021

 

This video is to assist health centers and health center program stakeholders access and read the eCQM specifications in order to support clinical quality measure reporting on the Uniform Data System (UDS).

The embedded video does not include audio descriptions. For a version with voice-over or audio description of what is shown on the screen, click the link in the Resource Links section below.

Resource Links

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Tags: eCQM UDS eCQI quality improvement UDS Measures Clinical Quality Clinical Measures Quality Measurement

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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