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Quality Control in Medical Laboratories for Beginners
Friday, February 28, 2025 at 16:00 GMT / 17:00 CET / 11:00 EST / 08:00 PST
Quality control in laboratory medicine is a key element for reliable results and therefore patient safety. This one hour webinar will explain the basic steps on how to proceed with quality control procedures as part of your laboratory’s daily routine. Examples will be provided highlighting some of the current challenges medical laboratories face in regard to quality control, and solutions will be presented to help overcome these challenges.
Key learning objectives
- Explain when and how quality control material should be used
- Discuss what the outcome of the measurement of a quality control product should be
- Describe what needs to be done if results are outside the limits
Who should attend?
- Those looking to learn more about quality control in a medical laboratory
- Medical technicians or people in the industry who are at the beginning of their career in a medical laboratory
- Recommended for beginners
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
‘In partnership with LGC Clinical Diagnostics’
Accreditation statement
SelectScience is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E.® Program.
Please email editor@selectscience.net with any questions.
Speakers

Oswald Sonntag is an independent consultant in the field of laboratory medicine and a well-known expert in this field. He was involved in the early days of setting the first steps of the RiliBÄK in Germany. He has published over 90 scientific peer reviewed papers and is the author and co-author of several books. Usually, each year, he presents at the ADLM annual meeting on different topics, including: drug interferences, pre-analytical phase, interpretation of statistical data, quality control, reference intervals, and sustainability.