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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: 2/21/2023 1:00 PM - 2:00 PM Export event
Preparing for Patient Level Reporting: UDS+ and More
Jodie Albert

Preparing for Patient Level Reporting: UDS+ and More

HITEQ Highlights Webinar

Data standards initiatives and the Uniform Data Set (UDS) Modernization initiative aim to reduce reporting burden through easing data exchange, improve data quality, and better measure services and outcomes. In the coming years, health centers will be expected to use FHIR, a data standard that is becoming more common, to submit UDS+ along with other information (such as public health reporting). Experts involved in preparation for UDS+ and similar initiatives with CMS will join to share their experiences and reflect on what health centers should be aware of as they prepare for the future of UDS and other reporting. Register below!

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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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