Elevate Your Lab Quality with a Data-First Strategy 📊
Level up your lab's quality management with a data-driven strategy!
Presentation Overview
This presentation, "Driving Quality in the Laboratory: A Data-First Approach," outlines the essential Key Performance Indicators (KPIs) and metrics needed to ensure excellence, compliance, and continuous improvement in any modern clinical or research laboratory.
Understand and Apply Key Quality Indicators
Learn how to distinguish between Process Indicators (the 'how' of quality) and Output Indicators (the 'what' of quality) and use them to create a robust, balanced quality scorecard.
-
Why measurement is critical: Understand the importance of laboratory measurement for patient care and reliability.
-
Indicator Types: Grasp the fundamental difference between Process and Output Quality Indicators.
-
Key Metric Formulas: Get the formulas and targets for vital metrics such as Test Statistics Completion and Equipment Downtime.
-
Internal Trust: The importance of IQC Coverage (Internal Quality Control) for ensuring patient result trustworthiness.
-
External Benchmarks: How external factors like Scope of Accreditation and Customer Satisfaction serve as vital Output Indicators.
-
Connecting Performance: Learn how to directly connect your internal process performance to tangible quality outputs.
Watch the Full Presentation
 |
| Image:-facility-level LQMS indicators & targets |
