A novel delta check method for detecting laboratory errors

Author(s):  
J. Sourati ◽  
D. Erdogmus ◽  
M. Akcakaya ◽  
S. C. Kazmierczak ◽  
T. K. Leen
2016 ◽  
Vol 5 (07) ◽  
pp. 4704
Author(s):  
Syed Riaz Mehdi* ◽  
Sharique Ahmad ◽  
Noorin Zaidi

Laboratory error is defined by ISO 22367 as “Failure of planned actions to be completed as intended or use a wrong plan to achieve an aim”. Lundeberg in 1981 outlined the concept of Total Testing Process (TTP) and Plebani elaborated it further and classified the whole testing process into five phases of Pre-Pre Analytic, Pre Analytic, Analytic, Post Analytic and Post - Post Analytic. The errors have to be identified and resolved in each phase of the process. The medical laboratories have to run Internal and External Quality Control programs and abide by the guidelines of ISO 15189 in order to be accredited by bodies like JCI, CAP or NABL. Active communication and regular interaction between the clinicians and the laboratory is recommended during Pre Analytic and Post Analytic phases of TTP in order to achieve the target of Best Laboratory Practices. 


Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 302
Author(s):  
Konni Biegert ◽  
Daniel Stöckeler ◽  
Roy J. McCormick ◽  
Peter Braun

Optical sensor data can be used to determine changes in anthocyanins, chlorophyll and soluble solids content (SSC) in apple production. In this study, visible and near-infrared spectra (729 to 975 nm) were transformed to SSC values by advanced multivariate calibration models i.e., partial least square regression (PLSR) in order to test the substitution of destructive chemical analyses through non-destructive optical measurements. Spectral field scans were carried out from 2016 to 2018 on marked ‘Braeburn’ apples in Southwest Germany. The study combines an in-depth statistical analyses of longitudinal SSC values with horticultural knowledge to set guidelines for further applied use of SSC predictions in the orchard to gain insights into apple carbohydrate physiology. The PLSR models were investigated with respect to sample size, seasonal variation, laboratory errors and the explanatory power of PLSR models when applied to independent samples. As a result of Monte Carlo simulations, PLSR modelled SSC only depended to a minor extent on the absolute number and accuracy of the wet chemistry laboratory calibration measurements. The comparison between non-destructive SSC determinations in the orchard with standard destructive lab testing at harvest on an independent sample showed mean differences of 0.5% SSC over all study years. SSC modelling with longitudinal linear mixed-effect models linked high crop loads to lower SSC values at harvest and higher SSC values for fruit from the top part of a tree.


JAMA ◽  
1997 ◽  
Vol 277 (11) ◽  
pp. 882
Author(s):  
Katherine Kaye
Keyword(s):  

Author(s):  
Maria-José Castro-Castro ◽  
Lourdes Sánchez-Navarro

Abstract Objectives Change limits, more commonly called delta check, are those in which a change in a patient’s measured result in relation to their corresponding preceding measurement is suspected of being erroneous and should be considered as a doubtful result. The aim of this study was to provide change limits for some biochemical and haematological quantities to detect doubtful measured results and to assess its effectiveness to detect erroneous results for their application in and the standardization of the plausibility control. Methods Change limits have been estimated for 13 biochemical and 6 haematological quantities. For each quantity, relative differences (D), expressed as a percentage between the two consecutive measured results from the same patient (from scheduled laboratory requests), were calculated. From these differences (D), the p5 and p95 percentiles of the data distribution were calculated. To assess the effectiveness of the change limits to detect laboratory errors, 43 erroneous laboratory reports, containing different biochemical and haematological quantities, were obtained from the standard laboratory plausibility control procedure. Results From the 43 erroneous laboratory reports, 31 (72%) were due to endovenous administration errors and 12 (28%) were due to mislabeling errors. All erroneous laboratory reports were detected when the change limits of the quantities were combined and applied together. Conclusions The best combination of quantities, which detect all the erroneous reports in the same specimen were: potassium, albumin, creatinine, glucose and haemoglobin.


2010 ◽  
Vol 54 (01) ◽  
pp. 34-40
Author(s):  
Zhou Bo ◽  
Liu Yujun ◽  
Ji Zhuoshang

Lifting padeyes are widely used in the construction of offshore structures and ships. It has been shown that the traditional check method cannot reflect the realistic value and distribution of actual stress on the padeyes. A more accurate method for the padeye stress calculation is essential and important for promoting the safety of the padeyes. In this paper, a new check formula is proposed based on the analysis of deformation and external loads distribution on lifting padeyes. The results of finite element method and the solutions of traditional check formula and new check formula are compared. It is shown that, by applying the stress check formula derived in the paper, the value and the location of the dangerous stresses occurred can be evaluated easily and exactly. The safe reliability of structure design can be improved significantly.


2011 ◽  
Vol 135 (5) ◽  
pp. 760-765 ◽  
Author(s):  
Suzanne M. Dintzis ◽  
Galina Y. Stetsenko ◽  
Colleen M. Sitlani ◽  
Ann M. Gronowski ◽  
Michael L. Astion ◽  
...  
Keyword(s):  

BDJ ◽  
1975 ◽  
Vol 139 (3) ◽  
pp. 98-101 ◽  
Author(s):  
G A Smith
Keyword(s):  

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