VERIFIED Best Practice reduces lab error DRAMATICALLY!

NEW best practice

Recent publications from ISO, CLIA, CLSI EP 23-A, CMS and others describe general guidelines for Risk Management. They also describe specific steps required to ensure acceptable patient risk for numerical laboratory results that are controlled by statistical quality control practices. These steps require subtle yet fundamental changes in existing mathematical algorithms of statistical QC. Step one is to define the level of error that creates unacceptable risk.

QC that does what you want!

Have you secretly yearned for a QC system that would just spit out 3 virtual stacks of reports that are stamped either:
1. “This is good; here’s the QC process to make sure it stays good.”
2. “This is OK but close; improve this and ramp up QC to watch it carefully. Here’s how.” Or
3. “This is unacceptable. Stop now and fix the problem. Here’s how.”
You can have that QC system!

Prove it! Risk Free

Put yourself in the driver’s seat of ‘Prof Zoe’s Risk Simulator’ to see how specific risk drivers and your QC choices determine the number and clinical/legal costs of medically-unreliable results reported. Make changes. See the impact. Follow the recommendations. Discover how QC software that employs “Mathematically-OptimiZed Risk Evaluation” can measurably reduce healthcare risk and cost – by making it easy for you to implement best practices for numerical QC.

What is the M.O.R.E. Quality Process?

M.O.R.E. Quality™ (Mathematically Optimized Risk Evaluation) is the first NEW thing to come to Quality Control in 30 years! We combine an effective, powerful, step-by-step process to properly evaluate and dramatically improve your existing quality control. Our revolutionary software will analyze your quality control data and suggest quality control strategies and recommendations in easy to understand reports. We also provide education that will keep your staff on the same page.

By breaking the competencies and software reports into levels, the ‘old timers’ become Risk Managers or Risk Masters and have all the statistical details they are familiar with – and more. But front line staff and physicians, patients and society get clear direction and pass/fail evaluations and dollars and Risk-Based Grades. Imagine the positives of supervisors reviewing the last month’s QC in an hour instead of taking all month.



Quality Managers can be sure that the QC process works even when they are not there.

The premise of Mathematically-OptimiZed Risk Evaluation™ is that “If the laboratory director develops medical goals and acceptable risk levels – approved by physicians, patients and society – then software can automate the QC process to meet those standards.” Mathematically-OptimiZed Risk Evaluation™ embodies a NEW mathematical algorithm that adds acceptable risk as a quality criteria.


We don’t try to teach people complex math or stats to the smartphone generation; that’s what computers do.

We teach people to manage risk with medical goals and medically-acceptable risk levels.

Laboratory management can verify the QC process effectiveness to detect risk levels and staff competency to take the right action with specific flags. We make it simpler!

Mathematically-OptimiZed Risk Evaluation™ is a new quality control perspective and software process developed to measurably reduce the number of laboratory errors reported.

M.O.R.E. Quality™ calculates the number and cost of laboratory errors based on patient test volume, medical goals and the accuracy and precision of the analytical process at the time of review. This number of errors is compared to the Acceptable Risk Level – the number of results you are willing to report outside medical goals. If methods fail to meet the laboratory’s medical goals and acceptable risk levels, action flags alert staff to stop, mitigate risk of errors reported, and take corrective action.

It’s 2017! Go beyond six sigma! Let the computer just tell staff what the numbers mean and the logical action required.

Our vision is to provide the reporting service combined with education and ongoing competency verification to individual laboratories, and to license the software algorithms to existing providers of QC software and peer review, PT, or EQA programs. We want to help you make a measurable difference in patient care.

Features of M.O.R.E. Quality

  • enhances, not replaces, statistical QC and sigma
  • provides clear, consistent guidance to meet your defined quality standards and acceptable risk levels
  • conveys acceptability of quality to lay people in plain language in full sentences, not statistical jargon
  • goes beyond sigma to create detailed risk metrics, evaluations and recommendations
  • recommends and verifies a consistent QC process to meet approved goals
  • quantifies the existing risk and cost of quality failures
  • projects financial benefits of improved quality
  • removes 90% of human error from QC

How will you Benefit from using the M.O.R.E. Quality Process?

Lower Patient Risk

The M.O.R.E. (Mathematically OptimiZed Risk Evaluation) process will help you to dramatically lower patient risk by ensuring that fewer bad patient results are released. Make physicians and patients happy!

Save Time

Instead of wasting time reviewing stacks of reports and confusing statistical jargon, use our CatalystQC reports to see your method performance at a glance through powerful summary reports, charts and quality grades. Use your time for more important tasks!

Reduce Costs

Using our M.O.R.E. (Mathematically OptimiZed Risk Evalution) process will help you to reduce clinical costs and optimize resource utilization and laboratory costs within your laboratory. Be sure you are spending money on the right things!

Reduce Laboratory Error

Reduce existing statistical laboratory error by as much as 50% by using M.O.R.E. Quality. It clearly connects QC results to the number and clinical/legal cost of patient results that are medically-unreliable. Recognize lab errors within one run!

Improve Communication

Develop consistent, role specific communication for laboratory quality control throughout your organization. Learn and use the same terms, methodology and report interpretations.

Meet Regulations

Meet regulations such as CMS’ IQCP and CLSI’s Guideline EP23A quality control and risk management requirements by documenting your laboratory and method performance.

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