SEP 19, 2018 06:00 AM PDT
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Quality Assurance in the Hematology Laboratory

SPONSORED BY: Abbott Diagnostics
C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Director of Client Services and Technology - Westgard Quality Control
    Biography
      Sten Westgard, MS, is the Director of Client Services and Technology for Westgard Quality Control. Mr. Westgard earned his MS degree in Computer Science from Pace University (New York, New York).

      For more than 20 years, Sten has managed the Westgard website, course portal, and blog, creating and administering online training, as well as editing and writing hundreds of reports, essays, and applications on quality control, method validation, Six Sigma Risk Management and other laboratory management topics.

      He has edited and contributed to numerous books on quality, including Basic QC Practices, Basic Method Validation, Basic Quality Management Systems, Six Sigma QC Design and Control, Six Sigma Risk Analysis, CLIA Final Rules, Assuring the Right Quality Right, The Poor Lab's Guide to the Regulations and Nothing but the Truth about Quality. He has co-edited two special issues of Clinics in Laboratory Medicine (2015 and 2017), as well as a special forthcoming issue of Biochemica Medica (2018)

      Sten is also an adjunct faculty member of the Mayo Clinic School of Health Sciences in Rochester, Minnesota; an adjunct faculty member of the University of Alexandria, Egypt; an adjunct visiting faculty member of Manipal University in Mangalore, India; and an honorary visiting professor in 2017 at Jiao Tong University, Shanghai.

    Abstract:
    DATE: September 19,2018
    TIME:  06:00am PDT, 09:00am EDT, 2:00pm BST, 3:00pm CEST
     
    Statistical Quality Control is well established as a key assurance technique for medical laboratories. In chemistry and other disciplines, the use of statistical quality control and “Westgard Rules” is common, but the implementation of these techniques is less well understood in hematology. The challenge of hematology parameters, particularly the short life of the controls, often introduces additional variation and errors that obscure the real status of the patient specimens. The issues of using external controls has often led hematology labs to adopt inaccurate and inefficient practices in their quality control program. Through benchmarking on the Six Sigma scale, it is possible to optimize the QC process for hematology parameters, adjusting the QC rules and controls so that tests are not “over-QC’d” nor “under-QC’d”.
     
    Learning Objectives:
    • Recognize poor QC practices in hematology
    • Adopt best QC practices
    • Optimize the “Westgard Rules” for hematology parameters
    • Adjust QC frequency to account for the Sigma-metric performance of the test
     
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