Evolve Your QC Strategy—Without Abandoning Proven Science.
FREE Live Event
June 9, 10, 11th, 2026 10 AM to Noon EDT (GMT-4)
Risk Management MasterClass
Build on Proven QC Science to Achieve Risk-Based Clinical Excellence
Extending Proven QC into Today’s
Risk-Based Laboratory
Statistical quality control transformed laboratory medicine by helping detect analytical error. Today’s laboratories face additional operational complexity, regulatory expectations, and patient-risk demands. This masterclass shows how to extend proven QC methodologies with real-time risk intelligence aligned with modern global standards.
Who Is This For?
Laboratory Professionals
Medical laboratory scientists, technologists, supervisors, and managers looking to master risk management
Quality Leaders
QA/QC coordinators, laboratory directors, and pathologists responsible for quality and patient safety
Forward-Thinking Leaders
Anyone seeking to implement value-based laboratory medicine and quantify ROI of quality improvements
Exclusive Bonuses for Attendees
Core Questions Answered
The Clinical Impact
- How do lab errors directly create patient harm and increase costs?
The Data Gap
- Which analytical shifts matter most to patient risk?
The Evolution
- How can risk management strengthen existing QC strategies?
The Standards
- What do ISO 15189:2022, CLSI/CLIA, and EFLM recommend?
Acceptable Limits
- How do you define Total Allowable Error that protects patients?
Risk Metrics
- Likelihood of errors vs Sigma metrics: what matters most?
Exclusive Bonuses for Attendees
Interactive Simulator
Change risk drivers for analytical quality and QC effectiveness. Watch real-time impact on patient risk and healthcare costs. Gain a deeper understanding of your data and what affects outcomes.
Paradigm Shift Thinking
Gain New Perspectives
- Learn from global experts about regional challenges with accreditation, QC practice, and lab stress.
- Case studies of reductions in patient errors and lab false positives
- Reduce false positives and simplify lab processes
Interactive Simulator Access
30-day complimentary access to Interactive Risk Simulator to model how QC works and forecast patient risk
Full simulator access
Practice scenarios
Unlimited attempts
Special Pricing
Exclusive discounted pricing on RiskGATOR software
Early adopter pricing
Exclusive discounts
Limited-time offer
50% Discount for 3-hour Online Risk Management Course
Live question & answer time
Video Replays
Free Downloads:
Best Practice Checklist for Quality Control & Risk Management
QC Problem-Solving Worksheet for Root Cause Analysis & Action Planning
Interactive Simulator
Take the blindfold off sigma! Convert sigma to Medically Incorrect Results (MIRs) per year to see how:
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- variations in acceptable risk impacts Margin for Error (that drives QC process design) while sigma remains constant
- the risk of errors varies with patient volumes while sigma remains constant
- acceptability of risk varies with the TEa value selected,
- Margin for Error and the risk of errors vary with analytical bias, while sigma remains constant
- Margin for Error and the risk of errors vary with method SD
- software can report the acceptability of risk instead of just statistics that you need to interpret
- software can report risk metrics of the number, percent and probability of errors, instead of just statistics
- Margin for Error (the number of SD to unacceptable risk) varies with acceptable risk and patient volume, while sigma remains constant
- Risk Distribution Graphs that show current and failed performance adds meaning add clarity to QC data interpretation
See how risk-based analytics complement statistical QC by translating analytical variation into operational and patient-impact decisions.
Interactive Simulator
Take the blindfold off sigma! Convert sigma to Medically Incorrect Results (MIRs) per year to see how:
-
- variations in acceptable risk impacts Margin for Error (that drives QC process design) while sigma remains constant
- the risk of errors varies with patient volumes while sigma remains constant
- acceptability of risk varies with the TEa value selected,
- Margin for Error and the risk of errors vary with analytical bias, while sigma remains constant
- Margin for Error and the risk of errors vary with method SD
- software can report the acceptability of risk instead of just statistics that you need to interpret
- software can report risk metrics of the number, percent and probability of errors, instead of just statistics
- Margin for Error (the number of SD to unacceptable risk) varies with acceptable risk and patient volume, while sigma remains constant
- Risk Distribution Graphs that show current and failed performance adds meaning add clarity to QC data interpretation
The Assumptions Behind Today’s QC Decisions
Recognize any of these?
The PT Fallacy
- “My proficiency testing is good, so quality is acceptable.”
The Detection Myth
- “I believe our current rules detect failure immediately.”
The Sigma Trap
- “QC rules and frequency can be based only on sigma.”
The SD Error
- “You should combine several reagent lots to establish method SD.”
The Global Perspective
Learn how ISO 15189:2022, CLSI/CLIA, and EFLM regulations are driving the shift toward Risk Management worldwide.
USA | Canada | Europe| India | Asia | Latin America | Africa
What You Gain
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- Reduce False Positives:
Stop wasting time chasing false alarms. - Staff Empowerment:
Make quality/risk management easier to understand and execute. - Patient-Risk Visibility:
See how analytical variation translates into medically incorrect results before patient harm occurs. - Operational Decision Intelligence:
Turn sigma, bias, SD, and TEa data into clear action thresholds your team can execute with confidence. - Smarter QC Scheduling:
Learn when additional QC adds protection—and when it only adds cost, delay, and alarm fatigue. - AI in the Lab:
Learn how AI improves just-in-time understanding and guidance. - Accreditation Confidence:
Document QC decisions with risk-based evidence aligned with ISO 15189, CLSI, and global best practices. - Confidence to Innovate:
Learn how to strengthen QC decisions using risk-based evidence—without abandoning proven statistical methodologies. - Discount for Certification Course: Self-paced deep-dive Risk Management training program.
- Reduce False Positives:
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Join the Evolution of Quality Control
Extend proven QC science with real-time operational risk intelligence.
Upgrade your quality systems, reduce stress, improve patient safety, and lead the next generation of laboratory excellence.
Your Instructor and Moderator
Zoe Brooks
Co-Founder & CEO, AWEsome Numbers Inc
Building on decades of statistical QC science, Zoe developed the M.O.R.E. (Mathematically-OptimiZed Risk Evaluation) methodology to connect analytical variation with operational and patient-risk decision making.
Zoe is a globally recognized authority on laboratory risk management and quality control. Author of “Performance-Driven Quality Control” (AACC Press), multiple articles and scientific posters including the Award Winning “Impact of Seven Incremental Scenarios of QC Strategies. Her M.O.R.E. methodology powers AWEsome Numbers’ RiskGATOR software. (see more)
What happens next?
We’ll send you event details, access links, and information about your exclusive bonuses!