Risk Evaluation Programs

Risk Evaluation Programs

The best way to learn more about M.O.R.E. ™ is to see how much you can save in your laboratory.  Our team of certified M.O.R.E. Quality Consultants will guide you through the evaluation of analytical process quality and QC process effectiveness of five to twenty analytes (tests) and 5 – 10 individual analytical processes (instruments.)   Familiarize your team with Risk Drivers, Risk Metrics and the process of M.O.R.E. Quality™.   Quantify your risk reduction opportunities – in terms of medically-unreliable errors NOT reported and risk exposure avoided – in precious healthcare dollars.

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What are the timelines?

1.    Step 1:  Contact us!  We will answer questions and help select the best package.  Schedule an online planning session with Q & A if you like.  Select, schedule, and purchase your Risk Evaluation Program.  Finalize the analytes; organize your team.
2.    Week 1:  Upload QC risk drivers, patient results, and images of QC charts from the prior two month-ends.
3.    Week 2:  Clarify questions and data & send more if required.
4.    Week 4:  Review reports of risk metrics and potential savings with our consultant team in a live meeting with recording.  Discuss next steps.

What risk metrics do you need to send?


What CURRENT risk metrics (and M.O.R.E) will you receive?

For a quick overview, look first at the Risk BellZ™.   

The green curve shows the distribution of current QC accuracy and precision.  All statistical QC decisions are based on the assumptions that the patient population will mirror that accuracy and precision.  (The first step in M.O.R.E. Quality is to verify that assumption.) The green arrow shows the number of standard deviations from the current QC mean to the TEa limit – the sigma value.

The red curve shows where the QC data would be if it failed to meet the defined acceptable risk criteria.  The red arrow shows the Margin for Error – the number of standard deviations from the QC mean to failure of acceptable risk criteria.

Current risk metrics include

  1. The annual number and cost of MURs (lab errors),
  2. Margin for Error to unacceptable risk and
  3. Sigma value for comparison

The metrics and auto-action recommendations below are created by the mathematical algorithms of M.O.R.E.™

 


What POTENTIAL risk metrics (and M.O.R.E) will you receive?

To quantify potential, M.O.R.E. Quality simulates a failure of acceptable risk for daily QC with the existing and M.O.R.E. QC chart values and rules.  This is a 4.0 sigma method.

M.O.R.E. Quality™ auto-designs a QC process that will either [A] meet your defined acceptable risk criteria or [B] alert staff to STOP and reduce patient risk.


Please send me M.O.R.E. information