Traceable machine learning real-time quality control based on patient data.

Journal: Clinical chemistry and laboratory medicine
Published Date: Jul 19, 2022

Abstract

OBJECTIVES: Patient-based real-time quality control (PBRTQC) has gained attention as an alternative/integrative tool for internal quality control (iQC). However, it is still doubted for its performance and its application in real clinical settings. We aim to generate a newly and easy-to-access patient-based real-time QC by machine learning (ML) traceable to standard reference data with assigned values by National Institute of Metrology of China (NIM), and to compare it with PBRTQC for clinical validity evaluation.

Authors

  • Rui Zhou
    College of New Energy and Environment, Jilin University, Changchun 130021, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Andrea Padoan
    Department of Laboratory Medicine, University-Hospital of Padova, via Giustiniani 2, Padova 35128, Italy.
  • Zhe Wang
    Department of Pathology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China.
  • Xiang Feng
    Shanghai Engineering Research Center of Digital Education Equipment, East China Normal University, Shanghai 200062, China.
  • Zewen Han
    Inner Mongolia Wesure Date Technology Co., Ltd, Inner Mongolia, P.R. China.
  • Chao Chen
    Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Yufang Liang
    Department of Laboratory Medicine, Beijing Chao-yang Hospital, Capital Medical University, Beijing, P.R. China.
  • Tingting Wang
    Department of Anesthesiology, Taizhou Hospital, Linhai, China.
  • Weiqun Cui
    Center for Metrology Scientific Data and Energy Metrology, National Institute of Metrology, Beijing, P.R. China.
  • Mario Plebani
    Department of Laboratory Medicine, University-Hospital of Padova, Padova, Italy.
  • Qingtao Wang
    Department of Laboratory Medicine, Beijing Chao-yang Hospital, Capital Medical University, Beijing, P.R. China.

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