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Ensuring Quality Using IT Algorithms - Case Example: University of Michigan Chemical Pathology Laboratory

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Nancy Haley, Senior Clinical Consultant
Siemens Healthcare Diagnostics, Inc.
Tarrytown, NY

Eric Vasbinder, Chemistry Automation Supervisor
Chemical Pathology Laboratory
University of Michigan Health System
Ann Arbor, MI

Every laboratory wants to achieve the highest quality possible and meet its commitment to deliver timely results. However, managing Quality Control (QC) is frequently a manual and time-consuming process which may raise turnaround time and the risk of errors. In this webinar, Eric Vasbinder from University of Michigan Hospital will demonstrate proven techniques such as patient moving averages and Westgard rules to proactively manage QC issues. Over the past 7 years, the University of Michigan has been able to reduce errors by 73% and increase volume 97%, while holding headcount flat. Learn the tips and techniques that have worked for this progressive laboratory to optimize QC with the CentraLinkā„¢ Data Management System.

Learning Objectives:

  • Learn how to proactively manage QC and prevent problems before they occur
  • Evaluate the right batch size for patient moving averages
  • Explore the benefits of integrating QC with your data management process
  • Pinpoint the problem areas and redirect samples to minimize delay and reagent waste

Siemens continues to provide educational opportunities on key topics important to laboratory science and clinical implementation. We invite you to participate in other Siemens webinars and to check back often. As your trusted partner, Siemens is committed to helping you stay on the forefront of laboratory medicine.


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