Laboratory Quality Control: Using Patient Data toAssess Analytical Performance

Verfasser / Beitragende:
[Steven C. Kazmierczak]
Ort, Verlag, Jahr:
2003
Enthalten in:
Clinical Chemistry and Laboratory Medicine, 41/5(2003-05-15), 617-627
Format:
Artikel (online)
ID: 378876007
LEADER caa a22 4500
001 378876007
003 CHVBK
005 20180305123420.0
007 cr unu---uuuuu
008 161128e20030515xx s 000 0 eng
024 7 0 |a 10.1515/CCLM.2003.093  |2 doi 
035 |a (NATIONALLICENCE)gruyter-10.1515/CCLM.2003.093 
100 1 |a Kazmierczak  |D Steven C. 
245 1 0 |a Laboratory Quality Control: Using Patient Data toAssess Analytical Performance  |h [Elektronische Daten]  |c [Steven C. Kazmierczak] 
520 3 |a Quality control plays a vital role helping to ensure the reliability of laboratory test results. The application of statistical quality control has been a component of laboratory medicine for approximately 50 years. Many of the control rules based on the early applications of statistical quality control have remained essentially unchanged since their initial introduction. Optimization of quality control rules can vary depending on the application for which a test is to be used. This review explores the various applications of laboratory quality control procedures and their role in identifying laboratory error. The ubiquitous use of computers in today's laboratories has enabled the development of more sophisticated means of assessing laboratory quality. The use of the Six Sigma technique and its adoption by the laboratory community is one example. Other examples include the use of patient-derived quality control procedures as a means of assessing laboratory performance. Early examples of these types of applications include use of Bull's algorithm, anion gap measurements, and delta checking. More recent applications include the correlation of laboratory test results, the average of normals procedure, and the Bhattacharya method. 
540 |a Copyright © 2003 by Walter de Gruyter GmbH & Co. KG 
690 7 |a Medical equipment & techniques  |2 nationallicence 
690 7 |a Medical diagnosis  |2 nationallicence 
690 7 |a Diseases & disorders  |2 nationallicence 
773 0 |t Clinical Chemistry and Laboratory Medicine  |d Walter de Gruyter  |g 41/5(2003-05-15), 617-627  |x 1434-6621  |q 41:5<617  |1 2003  |2 41  |o cclm 
856 4 0 |u https://doi.org/10.1515/CCLM.2003.093  |q text/html  |z Onlinezugriff via DOI 
908 |D 1  |a research article  |2 jats 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1515/CCLM.2003.093  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a Kazmierczak  |D Steven C. 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Clinical Chemistry and Laboratory Medicine  |d Walter de Gruyter  |g 41/5(2003-05-15), 617-627  |x 1434-6621  |q 41:5<617  |1 2003  |2 41  |o cclm 
900 7 |b CC0  |u http://creativecommons.org/publicdomain/zero/1.0  |2 nationallicence 
898 |a BK010053  |b XK010053  |c XK010000 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-gruyter