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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
Why Collect Standardized Data on Social Determinants of Health?
HITEQ Center
/ Categories: Value Based Payment, Value Based Payment Basics

Why Collect Standardized Data on Social Determinants of Health?

A slide deck outlining the potential use of ICD10 coding for SDOH.

This resource describes the importance of collecting Standardized SDOH Data in the context of value based payment.  The resource reviews commonly used codes in ICD-10 that can help document SDOH.  Finally, the slide deck describes useful tools for collecting these data and what’s on the horizon for health centers to strengthen their efforts to move “upstream” in addressing health disparities.

Download this slide deck below.

Documents to download

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24241
Tags: Social Determinants of Health risk coding codes ICD-10 ICD10
Intended AudienceHealth center leadership, provider staff, those involved in coding

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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