Topic outline

  • Words, Numbers and Truth

    References and discussion forums where we can come to consensus on fundamental meanings of specific terms, irrefutable attributes of numbers and connect the truth of patient risk with the inferences of statistical quality control.

     

    Forums: 3File: 1Folder: 1
  • Risk Management

    The Prime Directive of Risk Management states that "At the LEAST, the ability of QC procedures to detect medical error should be evaluated." New risk metrics that can be created in terms of the number and cost of errors reported.  Discover the amazing world of understanding and opportunity beyond the usual stats.

    Page: 1Files: 6Forum: 1URLs: 4
  • Old Sigma; New Sigma; No Sigma

    This will be our starting point for 2019.  What exactly is "sigma?"   Is it capable of meeting best practice for Risk Management as required by ISO 15189 and CLSI EP23A?  We will QUANTIFY the VALUE (costs and savings) of teaching and applying six sigma concepts relative to the automated decision-making algorithms of M.O.R.E. Quality™.

    Forum: 1Page: 1Files: 2URLs: 3
  • Measurement Uncertainty

    Measurement uncertainty is almost certainly the least understood and poorly applied concept in medical laboratories. This was a surprise to me! I thought it was common practice, as it has been ‘mandated’ for so many years.

    We spent a lot of time at Scientific Advisory Board meetings discussing this and finally concluded the key lied in going back to WHY to calculate MU, as described in ISO 15189: “Examples of the practical utility of measurement uncertainty estimates might include confirmation that patients’ values meet quality goals set by the laboratory and meaningful comparison of a patient value with a previous value of the same type or with a clinical decision value.” 

     

    Forum: 1Files: 9URLs: 6Folder: 1
  • Statistical QC Processes

    The 'prime directive' of CLSI EP23-A states that "At the least, the ability of the QC procedures to detect medically allowable error should be evaluated." In repeated studies and publications, existing statistical theory and practice is grossly ineffective.

    The algorithms of Mathematically-OptimiZed Risk Evaluation create a shift to fail acceptable risk criteria and then quantifies the clinical cost of failed results reported by comparative QC processes. Compare the costs and value of your existing QC process to the auto-designed process.
    Pages: 2Files: 6Folders: 3URL: 1
  • Mathematics & Statistics

    Bayesian Reasoning and Mathematics
    SI converter.
    Other resources to follow.

    Forum: 1URL: 1