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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
Using Data to Manage Population Health Under Risk-Based Contracts

Using Data to Manage Population Health Under Risk-Based Contracts

A background on what you need and how to use it

 

This brief walks health centers through three key questions related to using data to succeed under risk-based contracts: 1) What data do I need and how do I get it?  2)  How should I analyze the data? and 3) How should I use the data to manage quality and cost? Understanding the answers to these questions assists health centers in understanding the data-related capacities needed to participate successfully in risk-bearing payment models.

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Documents to download

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Intended Audiencehealth center leadership, those considering risk-based contracts, and quality, EHR, and data management 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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