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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: 1/25/2018 2:00 PM - 3:00 PM Export event
HITEQ Center

HITEQ Highlights Webinar: Using Data to Manage Population Health Under Risk Based Contracts

HITEQ Highlights

With value-based care, providers are increasingly being asked to take on more accountability, and in some cases financial risk, for cost and quality outcomes for a defined population. This webinar aimed to help health center leadership assess whether they are investing sufficiently in the clinical and administrative infrastructure and analytics to succeed under risk-based payment.  The session addressed three key questions: 1) What data do I need and how do I get it? 2) What do I do with the data once I have it? and 3) How do I apply what I learn from the data to manage quality and costs?  The session featured health centers engaging successfully in risk-based contracts using a robust population health management system.

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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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