Topic outline

  • Monitoring of Internal Quality Control System Using Patients’ Data

    Speaker: Abdurrahman Coşkun (TR)
    Moderator: Merve Sibel Gungoren (TR)

    Date: 184th June at 18:00 CET

    Abstract

    Internal quality control (QC) is the backbone of quality system in laboratory medicine, which serves to validate patients test results. However, it monitors the system intermittently, not continuously. Classical QC monitoring system depends on periods such as weeks, days, or predetermined time intervals and therefore detects some but not all analytical defects. In this situation, we have not much information about what is going on between these periods. To overcome this problem, we need a real-time monitoring system to detect the possible errors while the instruments are running.

    Autoverification programs evaluate and release test results as soon as they receive data from the instruments. Therefore, when we detect errors using classical QC monitoring system, the test results of a large number of patients might have been reported to clinicians and/or patients already. This is a major risk for patients’ safety and when we detect errors, it wouldn’t be easy to re-analyse all reported patients’ samples. 

    The devil is in the detail. We should monitor the system continuously using a suitable algorithm based on patients’ data. The aim of this webinar is to raise awareness for the necessity to monitor analytical instruments continuously while reporting test results. 

    About the speaker

    Abdurrahman Coşkun is the Professor of Clinical Biochemistry at the University of Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey. His main research is biomedical metrology and focused on biological variation, uncertainty and Six Sigma. He is the member of EFLM Biological Variation Working Group and EFLM Biological Variation Database Task Group. He also interested in transplantation proteomics and developed patented new solid organ preservation solutions.

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