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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
Event date: 10/5/2016 2:00 PM - 3:15 PM Export event
Success Stories: Building a Robust Data Infrastructure that Supports Alternative Payment Models (APMs)
Alyssa Thomas

Success Stories: Building a Robust Data Infrastructure that Supports Alternative Payment Models (APMs)

A LAN Learnings Webinar

This LAN Learnings webinar will highlight two organizations that have used different data sharing infrastructure approaches in their market areas and provided benefits to multiple stakeholders including payers, providers and purchasers. Panelists David Kendrick of MyHealth Access Network, Tulsa OK and Mylia Christensen of Oregon Health Care Quality Corporation will address partnerships established, barriers overcome, sources of funding, lessons learned, and examples of data available to the various stakeholders.

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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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