Behind the Numbers: A UDS Data Quality Series for Health Centers
Overview
This two-part webinar series builds health center capacity to interpret, audit, and improve Uniform Data System (UDS) data for meaningful quality improvement. Session 1 establishes data literacy across all staff who interact with UDS data. Session 2 takes a deeper, diagnostic look at the data pipeline behind the numbers, equipping informatically-engaged staff to distinguish care delivery problems from data capture problems.
Dates: Tuesday, June 30th and July 7th from 2:00pm – 3:00pm ET
Session 1: Data Quality 101
Webinar Title
Health Center Data Literacy: Understanding and Using Your UDS Data for Quality Improvement
Who Should Attend
All health center staff who interact with UDS data, including Quality Improvement (QI) coordinators, data analysts, clinic managers, Chief Medical Officers (CMOs), board members, Community Health Workers (CHWs), and Electronic Health Record (EHR) administrators.
Description
Many health center staff work with UDS data regularly but have never had the chance to slow down and learn what it actually means. This session builds that foundation, covering how to read Clinical Quality Measures (CQMs) and non-CQM tables, how to benchmark performance using the Health Resources and Services Administration (HRSA) Data Warehouse, and how to translate your data into a clear, confident story for board members, funders, and community audiences.
Learning Objectives
By the end of this webinar, participants will be able to:
- Interpret UDS data, including CQM rates (numerator, denominator, and exclusions) and non-CQM tables such as patient demographics and payer mix, to assess health center performance and identify areas for improvement.
- Compare health center UDS performance against national, state, and peer benchmarks using the HRSA Data Warehouse to prioritize the highest-impact improvement opportunities.
- Construct a plain-language UDS data story that integrates who the health center serves, how it is funded, and how it performs, suitable for board, HRSA, or community audiences.
Session 2: Data Quality 201
Webinar Title
Data Quality Under the Hood: Is It a Care Problem or a Data Problem?
Who Should Attend
QI staff, data analysts, EHR administrators, and informatically-engaged leaders
Description
When a CQM rate comes in lower than expected, the instinct is to improve care, but the real issue may be buried in how data was captured or coded long before it reached the measure. This session equips staff with a practical three-step audit process to trace data quality problems to their source, identify root causes, and build a targeted improvement plan with clear ownership and timelines.
Learning Objectives
By the end of this webinar, participants will be able to:
- Distinguish between a care delivery problem and a data capture problem by tracing how upstream UDS data quality issues in demographics, diagnoses, and encounter coding can cascade into CQM measure failure.
- Conduct a three-step UDS data quality audit (Profile, Diagnose, Act) that examines both CQM-specific and upstream UDS data elements.
- Design a targeted data quality improvement plan that specifies the UDS table, the data quality issue, the root cause, the responsible party, and the corrective action.
Faculty
Dr. Raymonde Uy, MD, MBA, ACHIP, Medical Director of Health Informatics, NACHC
HRSA Disclaimer
This program is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of an award totaling $6,625,000 with 0 percentage financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit HRSA.gov.
