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    THE USE OF STATISTICAL METHODS TO ASSESS AND MONIT 2017 - Monitoring a quality laboratory to prevent non-compliance. -By AtoZ Compliance

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    Website http://bit.ly/2n8eb9H | Want to Edit it Edit Freely

    Category exporting medical devices from the us, medical disposition, global modifier in medical billing, exporting medical devices, de novo definition medical, 21 cfr 820 quality system regulation, quality assurance training, laboratory quality assurance program, laboratory quality assurance

    Deadline: April 12, 2017 | Date: April 12, 2017

    Venue/Country: Online, U.S.A

    Updated: 2017-03-23 20:51:35 (GMT+9)

    Call For Papers - CFP

    April 12th, 1:00 PM - 2:00 PM EDT

    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.

    Speaker :

    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, and customer experience which are the foundation of our business. We believe that our up to date training programs will help you grow and succeed in your business.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.