Key Take Away:
This webinar will cover the basic statistics of compliance and non-compliance and how to use a statistical approach to monitor the operation to ensure that it is under control and to see when a problem is arising, but before it is outside of 3-sigma.
Everyone in a laboratory under compliance knows about 3-sigma out-of-control issues. Can the operation be monitored to avoid these? How?
Why Should You Attend:
Many problems that arise in a laboratory key performance indicator analysis result from causes that start small and grow over time. Laboratory quality assurance and laboratory quality control are dependant on an unplanned change in a procedure or the performance of an instrument. Laboratory quality indicators manifest themselves into changed patterns in certain measurable variables. The use of statistical methods to assess and monitor certain variables and quality assurance activities will be covered, highlighting the predictable patterns.
Areas Covered In This Webinar:
Data quality control in clinical laboratory and compliance to a required level of performance are measured by statistical tools. Usually in compliance there is a very heavy weighing towards only 3-sigma deviations. But statistics gives much more than that. There are other signs that being “out of control” in a laboratory quality assurance program is a building situation. These other statistical patterns can be used to trigger preventive actions without the dire consequence of a non-compliance.
Learning Objectives :
Basic statistics of compliance and non-compliance
Which Nelson’s rule describes common occurrences of quality control in medical laboratory
Who Will Benefit :
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John C. Fetzer
John C. Fetzer, has had over 30 year experience in HPLC methods development. He has authored or co-authored over 50 peer-reviewed papers onl iquid chromatography, has served on the editorial advisory boards of the Journal of Chromatography, Analytical Chemistry, and Analytical and Bioanalytical Chemistry.