Live Webinar
Expires: December 31, 2028
Interpreting Quality Compass results; understanding observed and expected results; interpreting risk-adjusted measures and O/E ratios; reviewing benchmarks; understanding stratified race and ethnicity data; recognizing limitations and opportunities in the data.
About this Course
Quality Compass Insights Series #1 : Turning Data into Decisions Quality Compass Results: What the Data Means
Quality Compass results can help organizations evaluate performance, identify gaps and understand how health care quality varies across plans, populations and measures. However, users often need additional guidance to interpret the data accurately and apply it appropriately.
This session introduces key interpretation concepts for Quality Compass users. Faculty will explain how to think about risk-adjusted measures, observed and expected results, O/E ratios and benchmarks. The session will also explore stratified race and ethnicity results, including what they can show, how variation across groups may be interpreted and what limitations users should keep in mind.
The session includes time for moderated Q&A, giving participants an opportunity to ask questions and clarify how the concepts may apply to their own Quality Compass use cases.
What You Will Learn
By the end of this course, learners will be able to:
- Explain how Quality Compass results can support performance analysis and decision-making.
- Describe the difference between observed and expected results in risk-adjusted measures.
- Interpret observed-to-expected ratios and benchmarks at a high level.
- Identify key considerations when reviewing stratified race and ethnicity results.
- Recognize limitations and context that should be considered when using Quality Compass data.
HEDIS® is a registered trademark of the National Committee for Quality Assurance (NCQA).
Who Should Attend
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Current Quality Compass users
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Prospective Quality Compass customers
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Health plans
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Health systems
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Health IT and technology vendors
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HEDIS reporting teams
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Quality analysts
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Compliance and audit stakeholders
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Professionals who use or interpret health care quality data
Faculty
Danielle Rainis
Senior Research Associate, NCQA
Lauren Campbell
Applied Research Scientist, Chronic Conditions, NCQA
Continuing Education
This is a non -accredited activity.
Disclosure of Relevant Financial Relationships
The National Committee for Quality Assurance (NCQA) endorses the Standards of the Accreditation Council for Continuing Medical Education which specify that sponsors of continuing medical education activities and presenters at and planners for these activities disclose any relevant financial relationships either party might have with commercial companies whose products or services are discussed in educational presentations.
For sponsors, relevant financial relationships include large research grants, institutional agreements for joint initiatives, substantial gifts, or other relationships that benefit the institution. For presenters or planning committee members, relevant financial relationships include the receipt of research grants from a commercial company, consultancies, honoraria, travel, or other benefits, or having a self-managed equity interest in a company; or having an immediate family member or partner with such a relationship.
Disclosure of a relationship is not intended to suggest or condone bias in any presentation but is made to provide participants with information that might be of potential importance to their evaluation of a presentation.
Relevant financial relationships exist with the following companies/organizations:
Faculty:
Danielle Rainis:
Lauren Campbell:
Additional Planning Committee Members:
Madison Yaniz:
Here is the course outline:
1. Zoom |
2. Evaluation |
3. Attestation |
Completion
The following certificates are awarded when the course is completed:
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Certificate of Attendance |
