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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 Centers in the Era of Accountable Care
HITEQ Center

Health Centers in the Era of Accountable Care

Insights from AltaMed Health Services

Funded by the Robert Wood Johnson Foundation, this case study highlights the successful experiences of AltaMed and how they shaped their role in payment reform, care delivery transformation, and their financial sustainability through multiple value based payment strategies. The authors at John Snow Inc. intend for this paper to serve as a lens through which other health centers may consider their role in payment reform models and strategies—including those affecting primary care as well as the health care delivery system of their populations.

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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