An international perspective on laboratory error rates, clinical costs and a core issue of QC misunderstanding at the front line. Discover new information, insight and capabilities that flow from medical goals, acceptable risk levels and the risk drivers and risk metrics of “Mathematically-OptimiZed Risk Evaluation™.” We changed the math! Go beyond sigma!
This introductory level course will help laboratories, regulatory, proficiency, and EQA programs utilize the core principles of Risk Management to meet the prime directive that: "At the least, the ability of the QC procedures to detect medically allowable error should be evaluated".
NOTE: Mathematically-OptimiZed Risk Evaluation™ applies only to methods that:
[A] create numerical results, and
[B] require stable sample/ surrogate/external QC samples.
- Prof: Zoe Brooks