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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
Successful Practices in Accountable Care: Sunset Community Health Center
NACHC

Successful Practices in Accountable Care: Sunset Community Health Center

Best Practices Series #2

Sunset Community Health Center (Sunset) worked with their largest Medicaid managed care payer, United Health Care, to increase access to care, reduce non-emergent emergency room visits, reduce admissions and re-admissions, and improve care for high-risk patients. The health center invested resources, including additional staff to improve care management, predictive modeling to identify high risk patients, and additional in house expertise. Sunset strengthened their relationship with United Healthcare and increased communication to support each organization’s goals.

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Intended AudienceHealth Center Staff

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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