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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
Clinical Quality Measures for Eligible Professionals: 2022 Update

Clinical Quality Measures for Eligible Professionals: 2022 Update

A Crosswalk Comparison of Clinical Quality Measures from The HITEQ Center

This spreadsheet developed by the HITEQ Center provides a crosswalk of Clinical Quality Measures and their electronic specifications as defined in the 2022 update for Eligible Professionals (Clinicians). Fields include the crosswalk of measures with related information about CMS, NQF, and MIPS ID, and Telehealth Eligiblity, as well as inclusion in CY2022 UDS, Million Hearts, NCQA digital quality measures (dQMs), Quality Rating System Measure Set, CMS Adult / Child Medicaid Core Measures Set, and MSSP ACo Performance Pathway. Links are included throughout.

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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