Take the courses, prove understanding and competency to receive a certificate of success.

The principles of Risk Management bring fundamental changes to the practice of medical laboratory quality control.  Adding acceptable risk levels to existing QC concepts and formulae enables the mathematical algorithms, logic and metrics of "Mathematically-OptimiZed Risk Evaluation™."  

No longer is the acceptability of quality determined by obscure theories and statistical calculations.  Now risk is acceptable when it is "small enough such that, when balanced against all known benefits—perceived or real  — patients, physicians, institutions, and society are willing to risk the consequences." (CLSI EP 23-A)   (The PIPS)

NOTE:  Mathematically-OptimiZed Risk Evaluation™ applies only to methods that
[A] create numerical results and [B] require stable sample/ surrogate/external QC samples.

The good news is this takes care of QC design and verification for most lab methods.




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.