Everything connected to QC is streamlined into a single portal: ordering customised QC samples, results management and reporting, control limits, Uncertainty of Measurement (MU) reports, troubleshooting and the ability to liaise with other users.


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Why use QConnect Concept for Monitoring Infectious Disease Testing?

Traditionally, laboratories set QC acceptance limits using as few as 15 data points and then calculate mean +/- 2 standard deviations to establish control limits.  Westgard rules are used to identify results that are “out of control”.  However, this method has been proven to be not fit for purpose and causes unnecessary work troubleshooting “false rejections”, resulting in extra cost and delays in patient testing.

As specialists in infectious disease quality control, NRL has developed and validated a more appropriate approach to monitoring infectious disease QC.  QConnect uses historical data submitted into our real-time QC software EDCNet, to calculate acceptance limits for each QC/Assay combination, using thousands of QC results.  In this way, participants can be confident that any QC results falling outside this range, truly represents an unexpected variation, which requires investigation.

NRL QConnect approach is the only scientifically validated way to monitor infectious disease testing QC results.

What is the QConnect Concept?

  1. Highest quality control samples, using true human disease-state plasma, optimised for each test system
  2. Data collection into the cloud-based EDCNet software
  3. EQC test results, analysed against peer (EQC/Test Kit) test results, displayed in graphical and tabular forms
  4. QConnect Limits, established using thousands of peer results, set upper and lower acceptance limits of EQC results, flagging when unacceptable results are detected.

QConnect Instructions For Use

QConnect IFU's

QConnect Safety Data Sheets (SDS) and Certificates of Analysis (CofA)

SDS and CofA

Latest QC Services Investigations

  • PMM-QC-689

    NRL was contacted by Abbott Laboratories, Australia, regarding Participant 128 having reported that there was evidence to suggest there was greater variation observed for HEPR:DM17216 since the introduction of the ARCHITECT anti-HBs version 3.

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    During a routine review of EDCNet, it was observed for the Abbott ARCHITECT HIV Ag/Ab Combo assay testing with QConnect Blue DM18210, Participant 39 data was above the upper limit and not in line with peer group data.

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    Participant 57 completed an evaluation of QConnect QC products and EDCNet. This report is a summary of the testing data submitted into EDCNet from 01 January to 30 September 2019.

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    NRL was contacted by participants 129 and 145 regarding the occurrence of random drops in data results, some falling below the lower QConnect range, for QConnect HIV p24, DM19142 on the Abbott ARCHITECT HIV Ab/Ag Combo assay.

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    NRL was contacted by Participant 8, to investigate a downward trend observed for QConnect HEPR lot DM20291 when testing with the Abbott Alinity i Anti-HBs and Anti-HAV IgG assays.

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    During daily out of range (OOR) and monthly data reviews of EDCNet, a number of ‘random drops’ were noted for the Optitrol HIV Screening QC testing on the Grifols PANTHER Ultrio Elite HBV/HCV/HIV assay.

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    During daily review of out of range (OOR) data submitted to EDCNet, a number of data were reported by multiple participants within the peer group as S/Co <1.00 for Optitrol Red QC lots DM20156 and DM21157 when testing with the Bio-Rad MONOLISA HBsAg ULTRA assay reagent lot 1K0709.

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    During scheduled monitoring review of QC data submitted to EDCNet for Optitrol ToRCH M QC testing with the DiaSorin LIAISON HSV-1/2 IgM assay, it was observed that all data entered under QC lot DM20144, were entered at the upper limit of the assay, Index Value (IV) 3.50.

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