Summary
In this module, you explored the dashboards and review capabilities available in mPower QC.
You learned how to:
- Review Follow-up Recommendations dashboards to monitor recommendation activity and trends.
- Review Critical Results dashboards to evaluate critical findings and communication performance.
- Review Quality Measure dashboards to analyze quality metrics and identify performance patterns.
- Understand how Natural Language Understanding (NLU) supports quality identification and review prioritization.
- Review AI Validation dashboards to monitor validation activities and evaluate AI-related performance metrics.
- Review Mismatch dashboard to evaluate mismatch activity, investigate trends, and support quality improvement initiatives.
By using these dashboards and quality review capabilities, you can evaluate quality performance, identify trends, prioritize investigations, and support data-driven quality improvement efforts.
For more information about mPower QC, see Review quality and performance with mPower QC