ABSTRACT
Objective:To evaluate the application value of patient-based real-time quality control (PBRTQC) algorithms in intralaboratory comparison between various hematology analyzers.Method:From April 1 st 2020 to March 31 th 2021, data of white blood cell (WBC) counts and daily comparison results of fresh venous blood, measured by five hematology analyzers, were collected at the Department of Laboratory Medicine in Hebei Children′s Hospital. First, the professional intelligent PBRTQC software system was applied to conduct the parameter setting, program establishment, and performance verification. Three concentration ranges of WBC were selected, low concentration (2.5-4.5)×10 9/L, medium concentration (6.0-8.0)×10 9/L and high concentration (12.0-14.0)×10 9/L for the comparison. Next, WBC counts were calculated with both of the EWMA and median methods, the results were then analyzed by PBRTQC using the module of"intralaboratory comparison of hematology analyzers". Finally, bias of intralaboratory comparison among various hematology analyzers analyzed by means of EWMA and daily comparison results of fresh venous blood were compared. Based on the standard of WS/T 406-2012,allowable error ±7.50% in WBC counts was set as the relative bias standard among different instruments. Results:(1) A total of 38 313 sample results were included, there were 70 warning results out of these samples based on the EWMA quality control method established on the data of patients with white blood cell count in our laboratory, with an early warning rate of 0.183‰, a probability of error detection of 100%, and a probability of false loss of control of 0. EWMA quality control efficiency met the quality objectives. (2) In the comparison monitoring of the results of 5 blood cell analyzers at high concentrations, the coincidence rate between EWMA and median method were both 100% (46/46) in weekly and monthly comparison, and EWMA could maintain a relatively stable monitoring efficiency in daily comparison. (3) In the selected natural month, the consistency rate between EWMA method and fresh blood comparison method was 95.24% (20/21).Conclusion:PBRTQC can be used as a valuable supplementary tool of IQC to continuously and effectively monitor the consistency of data derived from intralaboratory hematology analyzers with different bands and types, which can not only reduce the risk of quality and operating costs, but also improve the efficiency of laboratory management.
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Objective:To establish and evaluate a new real-time quality control method that can identify the random errors by using the backpropagation neural network (BPNN) algorithm and taking blood glucose test as an example.Methods:A total of 219 000 blood glucose results measured by Siemens advia 2 400 analytical system from January 2019 to July 2020 and derived from Laboratory Information System of Beijing Chaoyang Hospital Laboratory Department was regarded as the unbiased data of our study. Six deviations with different sizes were introduced to generate the corresponding biased data. With each biased data, BPNN and MovSD algorithms were used and tested, and then evaluated by traceability method and clinical method.Results:For BPNN algorithm, the block size was pre-set to 10 and the false-positive rate in all biases was within 0.1%. For MovSD, however, the optimal block size and exclusive limit were 150 and 10% separately and its false-positive rate in all biases was 0.38%, which was 0.28% higher than BPNN. Especially, for the least two error factors of 0.5 and 1, all the random errors were not detected by MovSD; for the error factor larger than 1, random errors could be detected by MovSD but the MNPed was higher than that of BPNN under all deviations. The difference was up to 91.67 times. 460 000 reference data were produced by traceability procedure. The uncertainty of BPNN algorithm evaluated by these reference data was only 0.078%.Conclusion:A real-time quality control method based on BPNN algorithm was successfully established to identify random errors in analytical phase, which was more efficient than MovSD method and provided a new idea and method for the identification of random errors in clinical practice.
ABSTRACT
Patient based real time quality control (PBRTQC) is a quality control method that uses the test results of clinical specimens from patients to monitor the analysis performance of the test process in real time and continuously. Although the International Federation of Clinical Chemistry and Laboratory Medicine PBRTQC working group had recommended that this method should be popularized in clinical practice in 2020, there is still certain lagging in cognition, research and application of PBRTQC in domestic clinical laboratories. This paper highlights the research progress, operation categories, clinical application value, domestic standard guidelines, PBRTQC procedure establishment, performance verification, implementation principles, application status and prospects of PBRTQC, so as to promote the recognition, acceptance, reference and wide application of PBRTQC in domestic clinical laboratories.
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Taking advantage of current advancements of the laboratory information system, patient-based real-time quality control (PBRTQC) has become a hot research topic with the potential of significantly improving the quality of clinical laboratories. PBRTQC has several advantages over conventional internal quality control, including the merit of continuous error detection, low maintenance cost, and no fear of loss of quality control due to commutability issue. This review summarized the recent research progress in PBRTQC. The review described the fundamental theories of PBRTQC and explained how to implement PBRTQC in clinical laboratories in detail. The review also provided prospective view on how to solve the current problems and what are the future research directions of PBRTQC.
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Objective To develop a real-time electronic nursing records quality control system based on No.1 Military Medical Project to solve the existing problems in range,representativeness of detection results,information feedback,information storage and etc.Methods An integrated platform was implemented for information acquisition,integration and display on the bases of No.1 Military Medical Project as well as the interfaces with information management systems for electronic nursing records,clinical laboratory examination,medical examination,imaging and etc,which had the functions of auto monitoring of timeliness and logic of electronic nursing records,manual quality control of the connotation as well as the feedback,statistics and analysis on the problems.Results The system behaved well in stability,compatibility,and could be used for real-time and dynamic control of electronic nursing records,timely information feedback and statistical analysis.Conclusion The system contributes to the quality control of electronic nursing records,and is of great significance for its enhancement.