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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
An Evaluation of the Cost Efficiency of Federally Qualified Health Centers (FQHCs) and FQHC ‘Look-Alikes’ Operating in Michigan
Institute for Health Policy at Michigan State University
/ Categories: Value Based Payment, Data Demonstrating Health Center Value

An Evaluation of the Cost Efficiency of Federally Qualified Health Centers (FQHCs) and FQHC ‘Look-Alikes’ Operating in Michigan

A Review of Recent Research on Health Center Cost of Care

This 2014 Michigan study compared Medicaid utilization of adults served by a health center to those who did not. The study builds on 2006 findings published by McRae et al in 2006 by enhancing the methodology used to attribute a patient to a health center for comparison purposes. The findings align with other studies demonstrating a lower monthly cost per Medicaid member.

Resource Links

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Tags: value evidence data health centers research

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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