Selection of an optimal combination of decision criteria for the internal quality control in an automatic analyzer

2000 ◽  
Vol 292 (1-2) ◽  
pp. 139-147 ◽  
Author(s):  
Garcı́a R. Menéndez ◽  
Camero O. Cabrera
2013 ◽  
Vol 66 (12) ◽  
pp. 1027-1032 ◽  
Author(s):  
Helen Kinns ◽  
Sarah Pitkin ◽  
David Housley ◽  
Danielle B Freedman

There is a wide variation in laboratory practice with regard to implementation and review of internal quality control (IQC). A poor approach can lead to a spectrum of scenarios from validation of incorrect patient results to over investigation of falsely rejected analytical runs. This article will provide a practical approach for the routine clinical biochemistry laboratory to introduce an efficient quality control system that will optimise error detection and reduce the rate of false rejection. Each stage of the IQC system is considered, from selection of IQC material to selection of IQC rules, and finally the appropriate action to follow when a rejection signal has been obtained. The main objective of IQC is to ensure day-to-day consistency of an analytical process and thus help to determine whether patient results are reliable enough to be released. The required quality and assay performance varies between analytes as does the definition of a clinically significant error. Unfortunately many laboratories currently decide what is clinically significant at the troubleshooting stage. Assay-specific IQC systems will reduce the number of inappropriate sample-run rejections compared with the blanket use of one IQC rule. In practice, only three or four different IQC rules are required for the whole of the routine biochemistry repertoire as assays are assigned into groups based on performance. The tools to categorise performance and assign IQC rules based on that performance are presented. Although significant investment of time and education is required prior to implementation, laboratories have shown that such systems achieve considerable reductions in cost and labour.


2018 ◽  
Vol 33 (1) ◽  
pp. e22643 ◽  
Author(s):  
Huizhen Sun ◽  
Wei Wang ◽  
Haijian Zhao ◽  
Chuanbao Zhang ◽  
Falin He ◽  
...  

2021 ◽  
Vol 6 (2) ◽  
pp. 115-118
Author(s):  
Kafil Akhtar ◽  
Radhika Arora ◽  
Umrah Malik ◽  
Ankita Parashar ◽  
Murad Ahmad ◽  
...  

Quality control describes steps taken by blood and component bank to ensure that tests are performed correctly. Primary goal of quality control is transfusion of safe quality of blood. It is to ensure availability of efficient supply of blood and blood components. Internal quality control is the backbone of quality assurance program. To analyze the internal quality control of blood components in modern blood banking as an indicator of our blood bank performance. An observational cross sectional study conducted at the Blood and Component Bank, JN Medical College and Hospital from 2018 to 2020. Each blood component was arbitrarily chosen during the study on monthly basis. Selection criteria was 1.0% of total collection or minimum 4 bags per month. Packed red cells were evaluated for hemoglobin, hematocrit, RBC count; platelet concentrates for pH, yield and culture; fresh frozen plasma and cryoprecipitate were evaluated for unit volume, factor VIII and fibrinogen concentration. The mean HCT of packed red cells was 65.75+7.42%, volume was 238+26.25ml, Hb was 20.5+0.15g/dL and RBC count of 5.89x10+0.30x10. The mean platelet yield was 5.7x10, pH was ≥6.8+0.175 and volume was 82.5+13.75ml; cultures were negative and swirling was present in all the platelet units tested. Mean factor VIII and fibrinogen levels were found to be 95.25 +7.37and 307.5+41.37gm/l for FFP respectively. Mean volume, PT and APTT were 215+32.5ml, 14.15+0.325 sec and 29.50+1.5 sec respectively. The quality control of blood components ensures the timely availability of a blood component of high quality with maximum efficacy and minimal risk to potential recipients.


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