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  1. Article ; Online: Integrating patient-based quality control and patient-based quality assurance.

    Badrick, Tony / Loh, Tze Ping

    Clinical biochemistry

    2024  Volume 124, Page(s) 110708

    MeSH term(s) Humans ; Quality Control ; Quality Assurance, Health Care
    Language English
    Publishing date 2024-01-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 390372-2
    ISSN 1873-2933 ; 0009-9120
    ISSN (online) 1873-2933
    ISSN 0009-9120
    DOI 10.1016/j.clinbiochem.2024.110708
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  2. Article ; Online: Developing an evidence-based approach to quality control.

    Badrick, Tony / Loh, Tze Ping

    Clinical biochemistry

    2023  Volume 114, Page(s) 39–42

    Abstract: Effective Quality Control remains one of the pillars of Clinical Biochemistry. An understanding of the possible analytical errors that may occur, how to detect them efficiently and how to prevent them from causing patient harm are critical components of ... ...

    Abstract Effective Quality Control remains one of the pillars of Clinical Biochemistry. An understanding of the possible analytical errors that may occur, how to detect them efficiently and how to prevent them from causing patient harm are critical components of a Quality System. For some time, there have been questions about the theoretical basis of the models used to describe and detect analytical error. The current theory recognises two types of error, systematic and random and a system based on sampling the analytical process using a synthetic material to detect these errors. However, there are at least two other errors that are present. One is related to the QC material and the other, irregular errors. In this Opinion Piece, some of the underlying assumptions of Quality Control systems are described and analysed.
    MeSH term(s) Humans ; Quality Control ; Biochemistry
    Language English
    Publishing date 2023-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 390372-2
    ISSN 1873-2933 ; 0009-9120
    ISSN (online) 1873-2933
    ISSN 0009-9120
    DOI 10.1016/j.clinbiochem.2023.01.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Methanol interference in LC-MS/MS vitamin D: need for lot-to-lot verification.

    Cheng, Wan Ling / Chew, Suru / Sethi, Sunil Kumar / Ho, Chung Shun / Loh, Tze Ping

    Pathology

    2024  

    Language English
    Publishing date 2024-01-18
    Publishing country England
    Document type Letter
    ZDB-ID 7085-3
    ISSN 1465-3931 ; 0031-3025
    ISSN (online) 1465-3931
    ISSN 0031-3025
    DOI 10.1016/j.pathol.2023.10.025
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  4. Article ; Online: Reply to "The trade-off between bias and imprecision: debunking the myth of bias as the primary culprit in patient result misclassification".

    Loh, Tze Ping / Lim, Chun Yee / Markus, Corey

    American journal of clinical pathology

    2023  Volume 161, Issue 5, Page(s) 517–518

    MeSH term(s) Humans ; Bias ; Diagnostic Errors
    Language English
    Publishing date 2023-12-19
    Publishing country England
    Document type Letter ; Editorial ; Comment
    ZDB-ID 2944-0
    ISSN 1943-7722 ; 0002-9173
    ISSN (online) 1943-7722
    ISSN 0002-9173
    DOI 10.1093/ajcp/aqad165
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  5. Article ; Online: Microbes and space travel - hope and hazards.

    Tang, Julian Wei-Tze / Henriques, Andre / Loh, Tze Ping

    Future microbiology

    2021  Volume 16, Page(s) 1023–1028

    MeSH term(s) Exobiology ; Extraterrestrial Environment ; Space Flight
    Language English
    Publishing date 2021-09-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2254620-0
    ISSN 1746-0921 ; 1746-0913
    ISSN (online) 1746-0921
    ISSN 1746-0913
    DOI 10.2217/fmb-2021-0196
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  6. Article ; Online: Clinical Decision Support in Laboratory Medicine.

    Choy, Kay Weng / Cornu, Pieter / Dighe, Anand S / Georgiou, Andrew / Peters, Lindsay / Sikaris, Kenneth A / Loh, Tze Ping

    Clinical chemistry

    2024  Volume 70, Issue 3, Page(s) 474–481

    MeSH term(s) Humans ; Decision Support Systems, Clinical
    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 80102-1
    ISSN 1530-8561 ; 0009-9147
    ISSN (online) 1530-8561
    ISSN 0009-9147
    DOI 10.1093/clinchem/hvae002
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  7. Article ; Online: Novel thiopurine S-methyltransferase (

    Lee, Chun Kiat / Huan, Pei Tee / Chai, Chean Nee / Ng, Li Jie / Koay, Evelyn Siew-Chuan / Lee, Ogestelli Fabia / Tan, Malcolm / Loh, Tze Ping

    Clinical chemistry and laboratory medicine

    2024  

    Language English
    Publishing date 2024-04-26
    Publishing country Germany
    Document type Letter
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2024-0494
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  8. Article ; Online: Lot-to-lot difference: a new approach to evaluate regression studies.

    Lim, Chun Yee / Markus, Corey / Loh, Tze Ping

    Scandinavian journal of clinical and laboratory investigation

    2022  Volume 83, Issue 1, Page(s) 58–59

    MeSH term(s) Humans ; Reagent Kits, Diagnostic
    Chemical Substances Reagent Kits, Diagnostic
    Language English
    Publishing date 2022-12-15
    Publishing country England
    Document type Letter
    ZDB-ID 3150-1
    ISSN 1502-7686 ; 0036-5513
    ISSN (online) 1502-7686
    ISSN 0036-5513
    DOI 10.1080/00365513.2022.2155992
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  9. Article ; Online: Impact of analytical imprecision and bias on patient classification.

    Loh, Tze Ping / Markus, Corey / Lim, Chun Yee

    American journal of clinical pathology

    2023  Volume 161, Issue 1, Page(s) 4–8

    Abstract: Objectives: An increase in analytical imprecision and/or the introduction of bias can affect the interpretation of quantitative laboratory results. In this study, we explore the impact of varying assay imprecision and bias introduction on the ... ...

    Abstract Objectives: An increase in analytical imprecision and/or the introduction of bias can affect the interpretation of quantitative laboratory results. In this study, we explore the impact of varying assay imprecision and bias introduction on the classification of patients based on fixed thresholds.
    Methods: Simple spreadsheets (Microsoft Excel) were constructed to simulate conditions of assay deterioration, expressed as coefficient of variation and bias (in percentages). The impact on patient classification was explored based on fixed interpretative limits. A combined matrix of imprecision and bias of 0%, 2%, 4%, 6%, 8%, and 10% (tool 1) as well as 0%, 2%, 5%, 10%, 15%, and 20% (tool 2) was simulated, respectively. The percentage of patients who were reclassified following the addition of simulated imprecision and bias was summarized and presented in tables and graphs.
    Results: The percentage of patients who were reclassified increased with increasing/decreasing magnitude of imprecision and bias. The impact of imprecision lessens with increasing bias such that at high biases, the bias becomes the dominant cause for reclassification.
    Conclusions: The spreadsheet tools, available as Supplemental Material, allow laboratories to visualize the impact of additional analytical imprecision and bias on the classification of their patients when applied to locally extracted historical results.
    MeSH term(s) Humans ; Bias ; Laboratories ; Patients/classification
    Language English
    Publishing date 2023-09-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2944-0
    ISSN 1943-7722 ; 0002-9173
    ISSN (online) 1943-7722
    ISSN 0002-9173
    DOI 10.1093/ajcp/aqad115
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  10. Article ; Online: Letter to the Editor: On moving average and internal quality control.

    Lim, Chun Yee / Markus, Corey / Tan, Rui Zhen / Loh, Tze Ping

    Clinical biochemistry

    2022  Volume 103, Page(s) 32–34

    MeSH term(s) Humans ; Quality Control
    Language English
    Publishing date 2022-02-26
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 390372-2
    ISSN 1873-2933 ; 0009-9120
    ISSN (online) 1873-2933
    ISSN 0009-9120
    DOI 10.1016/j.clinbiochem.2022.02.012
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