If data quality control in clinical laboratory applies to your business, then we have the right module for you in this webinar.
This session will explain how to use a statistical approach to monitor the lab operation to ensure that it is under control and to see when a problem is arising, but before it is outside of 3-sigma. Understand;
• Basic statistics of compliance and non-compliance
• Control charts
• Nelson’s rules
• Which Nelson’s rule describes common occurrences of quality control in medical laboratory
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 dependent 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.
Instructor John C. Fetzer, has over 30 years of experience in HPLC methods development.
At AtoZ Compliance, we focus on our core values - quality, expertise.
For more info visit www.atozcompliance.com