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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: 4/27/2017 - 4/28/2017 Export event
Health Datapalooza

Health Datapalooza

An Academy Health Conference

Health Datapalooza brings together a diverse audience of over 1,600 people in-person and via webcast from the public and private sectors to learn how health and health care can be improved by harnessing the power of data.

The conference brings data to life in ways that matter in health and health care. Each year, the meeting serves as a trusted gathering place for thought leaders and innovators that build momentum toward a vibrant health information economy. This year's conference promises to bring new energy to an action-packed event featuring top speakers representing a variety of industries.

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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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