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Upcoming Events

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: 5/2/2024 12:00 PM - 1:00 PM Export event
Caitlin Tricomi
/ Categories: Electronic Patient Engagement, EHR Selection and Implementation, EHR Implementation, Health Information Exchange, Health IT Enabled QI, Improving Performance, Validating Data Accuracy, Health IT & QI Workforce, Webinars

On the Horizon: UDS+ and Race, Ethnicity, and Language Collection

HITEQ Roundtable Series

The HITEQ Center is planning a series of discussions about what is on the horizon-- this includes the people, processes, and technologies related to UDS+, environmental impacts and environmental determinants of health (EDoH), and Artificial Intelligence (AI). Each session will be interactive and engaging and include time for health center sharing. This series is open to community health centers throughout the nation. If you are from a health center and are interested in enhancing your understanding of UDS+ demographic and clinical quality measures, environmental impacts and EDoH, and/or AI,This might include EHR or IT staff, clinical or operations staff, leadership, quality and population health staff, and/or clinical staff.

Session 1: Tuesday, May 2nd, 2024 at 12:00 ET: UDS+ and Race, Ethnicity, and Language Collection Roundtable

The Community Health Care Association of New York State and Sun River Health, a health center in New York, joined the HITEQ Center for a discussion on UDS+ and the collection of granular race, ethnicity, and language (REaL) data. Sun River Health shared their experience collecting REaL data, including how they've updated and optimized systems, tracked their data, and addressed challenges.

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Next Article HITEQ On the Horizon: Demystifying Current and Future Clinical Quality Measure Reporting: UDS+ and the Adult Weight Screening and Follow-up Measure Roundtable
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Tags: UDSdata collectiondemographic datadocumentationUDS+

Documents to download

Related Resources

Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.