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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
Value of Community Health Centers Study
John Snow, Inc

Value of Community Health Centers Study

A Review of Recent Research on Health Center Cost of Care

This study analyzed Medi-Cal claims data from Partnership Health Plan of California (PHC), a public/private organization designed to provide a cost-effective healthcare delivery system to Medi-Cal recipients in California’s Solano, Napa, Yolo, and Sonoma Counties in California. The findings align with other studies demonstrating a lower monthly cost per Medicaid member.

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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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