guests can take a self-guided tour through background reference
information, videos and essays in the development
of Mathematically-OptimiZed Risk Evaluation™
Watch webinar recordings from 2014 to 2015 as the concepts of Mathematically-OptimiZed Risk Evaluation™ evolved.
Familiarize yourself with highlights of key definitions, recommendations and requirements of IQCP, CLIA and CLSI EP 23-A.
Be prepared to think differently!
Challenge traditional statistical
assumptions. Start with medical goals and risk levels, not
data. Log in as a member to
Once you understand the fundamentals of risk management, the
process is remarkably simple!
Risk management is not your same old Quality Control!
Management and Individualized Quality Control Plans (IQCP) create
a huge step
forward in the management of
clinically-acceptable laboratory quality!
Risk-Based Quality recognizes that patient risk is a factor of both the ability of the analytical process to create clinically-acceptable results, and the effectiveness of the quality control process to detect and prevent patient risk if the analytical process fails. For the first time, you will be required to prove that your QC processes will detect and prevent clinically-significant errors.
You need to QC the QC!
Mathematically-OptimiZed Risk Evaluation™ is a process to both design and evaluate IQCP processes. It begins with approved medical goals and acceptable risk levels. It converts verified risk drivers to risk metrics. No stats required. No human errors in miscalculating or misunderstanding the numbers. Let the computer do the stats! Teach people to manage risk!
124 peers cast votes at the end of the June/July webinar series on effectiveness of IQCP.
The fundamental concepts and
algorithms of "M.O.R.E. Quality™" has been submitted to intense
scrutiny and peer review.
We hope to see other collaborators as 'the wonderful world beyond sigma' opens up.