Every Patient Deserves
Results They Can Trust
Implement requirements of ISO 15189:2022 and CLSI EP23A.
Reduce medically incorrect results and false positive QC flags with
Mathematically-OptimiZed Risk Evaluation™
Take a Bite Out of Risk!
RiskGATOR is where that begins
Your challenge:
ISO 15189:2022 requires that you implement risk management, with many specific requirements, but it does not tell you how to do that.
“Although this document requires that the laboratory identifies and addresses risks, there is no requirement for any particular risk management method. “
Our solution:
The first major advancement in medical laboratory quality management in decades!
RiskGATOR tells you exactly how many results could put patients at risk right now and shows you the simplest ways to protect them.
How RiskGATOR Differs from Statistical QC
Compare Traditional Statistical QC to Mathematically-OptimiZed Risk Evaluation™
Traditional Statistical QC
Outcome Prediction: Defines a probability or frequency estimate of a hazard in FMEA
Vague Estimates: Estimates are user estimates based on sigma value from some rule-of-thumb
No Root Cause: Does not address the root causes of out of control conditions
Assumes Effectiveness: Assumes 90% processes are already in control
No Cost Analysis: Does not quantify healthcare costs or cost of errors.
Detection Failures: Will not detect failure in program but focuses signals that rarely occur.
Mathematically-OptimiZed Risk Evaluation™
Risk Definition: RiskGATOR is powered by M.O.R.E. Quality™ (Mathematically-Optimized Risk Evaluation)
Precise Quantification: Evaluates actual Risk as patient harm, as defined in CLSI EP23A
Root Cause: RiskGATOR guides staff to improve accuracy and/or precision to meet defined goals.
Verified Detection: Verifies Daily QC can detect unacceptable risk in a single run.
Cost Analysis: Identifies healthcare costs caused by each lab error – per year and per failure event.
Best Choice: Recommends verified QC rules to detect failure while eliminating false positives.
Do your patients deserve M.O.R.E. than Statistical QC?
Additional RiskGATOR Benefits:
M.O.R.E. Quality Goals
Mathematically-OptimiZed Risk Evaluation™ enables CLINICAL goals.
Real-Time Analysis
Build or validate systems QC based on risk assessment
Reduce Risk
Measure reductions in errors reported and healthcare cost.
Cost Effective
Understand the economics of your quality control program
Patient Safety First
Quantify Medically Incorrect Results reported per year & per failure.
Data-Driven Decisions
Make informed choices based on mathematical risk evaluation
About AWEsome Numbers Inc.
Dedicated to revolutionizing clinical laboratory quality control, Zoe Brooks and Raymond Gerz founded AWEsome Numbers Inc. in 2012.
Our mission is to simplify complex statistical metrics, provide clear insights, and deliver actionable advice to ensure consistent and reliable lab results.
We achieve this using our proprietary algorithms and innovative software, and by empowering, educating, and certifying lab professionals with the knowledge and tools needed to standardize quality control processes across laboratories.
