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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: El Rio Community Health Center
NACHC
/ Categories: Value Based Payment, Engaging in Value Based Payment Models

Successful Practices in Accountable Care: El Rio Community Health Center

Best Practices Series #1

El Rio Community Health Center, in Tucson, Arizona, leveraged and enhanced their relationship with local payers, including United Health Care, to support the health center’s population health efforts. El Rio uses complex data analytics provided by United and other payers to help manage existing patients and to stratify new patients by their risk levels and intervene to direct patients to appropriate services in a timely manner and ultimately enhance the patient experience. United Health Care also incentives quality care at El Rio using Health Effectiveness Data and Information Set (HEDIS) and utilization measures such as Emergency Room visits and hospital readmissions.

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Tags: PayersdataPopulation Healthaccountable carepatient stratificationpatient centered medical homeincentive

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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.