Accuracy in Clinical Chemistry

1971 ◽  
Vol 17 (2) ◽  
pp. 63-71 ◽  
Author(s):  
Wendell T Caraway
Keyword(s):  
Quality Control ◽  
Long Range ◽  
Clinical Laboratory ◽  
Clinical Chemistry ◽  
Interlaboratory Comparisons ◽  
Laboratory Measurements ◽  
Laboratory Performance ◽  
Improved Accuracy

Abstract Improved accuracy of clinical laboratory measurements requires a broad range concept of quality control. Items considered include standardization, precision, specificity, recovery studies, interlaboratory comparisons, and long-range stability of laboratory performance.

scholarly journals Evaluation of Quality Control Data of Clinical Chemistry Parameters using Six Sigma Metrics Tool in Clinical Laboratory

2021 ◽  
pp. 305-309
Author(s):  
G. Anuradha ◽  
S. Santhinigopalakrishnan ◽  
S. Sumathy
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Clinical Laboratory ◽  
Clinical Biochemistry ◽  
Clinical Chemistry ◽  
Control Data ◽  
Laboratory Performance ◽  
Clinical Biochemistry Laboratory ◽  
Quality Control Data

Background: Physicians rely on laboratory results for treating patients. So it is the duty of laboratories to assure quality of the results released. So laboratory performance should be validated to maintain the quality. Six sigma has now gained recent interest in monitoring the laboratory quality.This study was designed to gauge the clinical chemistry parameters based on six sigma metrics. Materials and Methods: In this retrospective study, both the internal and external quality control data of 26 clinical chemistry parameters were collected for a period of 6 months from June 2020 to November 2020 and the six sigma analysis was done at the Central clinical biochemistry laboratory of Chettinad Hospital and research institute. Results: AST, amylase, lipase, triglyceride, HDL, iron, magnesium, creatine kinase showed sigma values more than 6.Uric acid, total protein, ALT, direct bilirubin, GGT,cholesterol, cholesterol, calcium, TIBC and phosphorus shows sigma values between 3.5 to 6. Glucose, BUN, creatinine, albumin, Na, K, Chloride, showed sigma values less than 3.5. Conclusion: Six sigma metrics can help in improving the quality of laboratory performance and also helps to standardisethe actual amount of QC that is required by the laboratory for maintaining quality.

Near-Infrared Spectrophotometry: A New Dimension in Clinical Chemistry

1992 ◽  
Vol 38 (9) ◽  
pp. 1623-1631 ◽  
Author(s):  
J W Hall ◽  
A Pollard
Keyword(s):  
Near Infrared ◽  
Serum Proteins ◽  
Clinical Laboratory ◽  
Clinical Chemistry ◽  
Electronic Transitions ◽  
Chemical Information ◽  
Pharmaceutical Chemical ◽  
Laboratory Measurements ◽  
Nondestructive Technique ◽  
Combination Bands

Abstract The near-infrared (NIR) spectral region (700-2500 nm) is a fertile source of chemical information in the form of overtone and combination bands of the fundamental infrared absorptions and low-energy electronic transitions. This region was initially perceived as being too complex for interpretation and consequently was poorly utilized. Advances in chemometric techniques that can extract massive amounts of chemical information from the highly overlapped, complex spectra have led to extensive use of NIR spectrophotometry (NIRS) in the food, agriculture, pharmaceutical, chemical, and polymer industries. The application of NIRS in clinical laboratory measurements is still in its infancy. NIRS is a simple, quick, nondestructive technique capable of providing clinically relevant analyses of biological samples with precision and accuracy comparable with the method used to derive the NIRS models. Analyses can be performed with little or no sample preparation and no reagents. The success of NIRS in any particular case is determined by the complexity of the sample matrix, relative NIR absorptivities of the constituents, and the wavelengths and regression technique chosen. We describe the general approach to data acquisition, calibration, and analysis, using serum proteins, triglycerides, and glucose as examples.

Allowable limit of error in clinical chemistry quality control.

1989 ◽  
Vol 35 (4) ◽  
pp. 630-631 ◽  
Author(s):  
Z C Cui
Keyword(s):  
Quality Control ◽  
Clinical Laboratory ◽  
Clinical Chemistry ◽  
External Quality Control ◽  
External Quality ◽  
Allowable Limit ◽  
Error Limit ◽  
Allowable Error

Abstract Taking the National Clinical Chemistry Quality Control of China National Center for Clinical Laboratory as an example, I present this study of some problems with using the allowable error limit in present-day clinical chemistry quality control, and propose a new allowable error limit for use in external quality control in clinical chemistry.

Patients as Their Own Controls: Use of the Computer to Identify "Laboratory Error"

1975 ◽  
Vol 21 (11) ◽  
pp. 1648-1653 ◽  
Author(s):  
Jack H Ladenson
Keyword(s):  
Quality Control ◽  
Clinical Laboratory ◽  
Clinical Chemistry ◽  
Chemistry Laboratory ◽  
Test Results ◽  
Total Calcium ◽  
Laboratory Error ◽  
Total Thyroxine ◽  
Clinical Chemistry Laboratory ◽  
Check System

Abstract I describe a system of quality control based on computer detection of changes in individual patient test results. This system, called "delta check," was used to follow all the tests performed by the clinical chemistry laboratory in a 1200-bed hospital. Analysis of 22 months’ experience indicates that specimen misidentification is a serious problem in the clinical chemistry laboratory. Over a nine-month period, errors were most frequent in the results for total thyroxine, total calcium, and total protein. Instances of laboratory error detectable by the delta check system are not detected by other currently used methods of quality control. This system therefore appears to be a valuable asset to the clinical laboratory

Improvement of Clinical Laboratory Services through Quality

2013 ◽  
Vol 2 (2) ◽  
pp. 38-46 ◽  
Author(s):  
Antonia Mourtzikou ◽  
Marilena Stamouli ◽  
Elena Athanasiadi
Keyword(s):  
Quality Control ◽  
Health Care Providers ◽  
Clinical Laboratory ◽  
Internal Quality ◽  
Care Providers ◽  
Improvement Program ◽  
Laboratory Performance ◽  
Laboratory Services ◽  
Poor Individual ◽  
Eqa Schemes

Health care providers need test results that are relevant, accurate, and reliable for patient care. The term “quality control” is used to describe the set of procedures used to check that the results of laboratory tests are reliable for the intended clinical use. A laboratory might produce results that are considered unsatisfactory. While the cause for this might be immediately apparent, the identification of the underlying problem is neither always straightforward, nor easy because many factors can affect result quality. Internal quality control (IQC) and external quality assessment (EQA) are two distinct but complementary components of a laboratory quality improvement program. IQC ensures day-to-day laboratory consistency. EQA permits the identification of poor individual laboratory performance, as well as the detection of reagents, instruments and methods that produce unreliable or misleading results, by means of a retrospective analysis of data obtained by participating laboratories. Continuous participation in EQA schemes has been linked to improved laboratory performance.

Practice of patient based quality assessment procedure in clinical chemistry unit at diagnostic laboratories in Nepal

2013 ◽  
Vol 1 (1) ◽  
pp. 9-17
Author(s):  
P Gyawali ◽  
S Tamrakar ◽  
N Lamsal ◽  
RK Shresta
Keyword(s):  
Quality Control ◽  
Clinical Laboratory ◽  
Clinical Chemistry ◽  
Vital Role ◽  
Control Procedure ◽  
Assessment Procedure ◽  
Random Errors ◽  
Quality Control Procedure ◽  
Total Testing Process ◽  
Analytical Errors

Background: The clinical laboratory is the major producer of information used to diagnose, treat, and monitor patients. Errors in laboratory testing may occur at many different points in the total testing process (TTP). Application of quality control plays a vital role in recognizing probable errors. The current dominant technique for error identification uses quality control materials has several inherent drawbacks; otherwise, patient based quality control procedure ensures the detection of pre-analytical errors, analytical, post-analytical errors, clerical errors, and random errors that cannot be detected using commonly used quality control methods, thereby improving the reliability of clinical tests. Objective: Thus the objective of this study was to evaluate the practice of patient based quality control procedure in clinical chemistry unit at diagnostic laboratories in Nepal. Materials and Methods: The questionnaire based study was conducted in clinical chemistry unit of diagnostic laboratories across the country. Questionnaires were personally dropped in 217 clinical biochemistry laboratories and were asked to complete a practice based questionnaire. The responses of 169 laboratories were analyzed using Microsoft Excel 2007 and expressed in terms of percentage. Results: In foremost study undertaken, a total of 169 laboratories responded to the questionnaire. A total 65.9 % of the laboratories monitored errors using patient based quality control procedure but not as a part of quality control. Very few of participant.s laboratories responded accurately regarding utility and practical aspects of patient based quality control included in the checklist. Conclusion: Practice of patient based quality control procedure was not well established to identify possible errors. Hence, the study extent the existing information and explored that the current classical approaches were not adequate to assure accurate patients test results for specific analytes. DOI: http://dx.doi.org/10.3126/stcj.v1i1.7983 Sunsari Technical College Journal Vol.1(1) 2012 9-17

The History of Proficiency Testing/Quality Control

1992 ◽  
Vol 38 (7) ◽  
pp. 1205-1209 ◽  
Author(s):  
F W Sunderman
Keyword(s):  
Quality Control ◽  
Proficiency Testing ◽  
Clinical Laboratory ◽  
Poor Performance ◽  
Dramatic Improvement ◽  
Laboratory Performance ◽  
Clinical Laboratories ◽  
The Poor ◽  
History Of

Abstract The history and origins of proficiency testing of clinical laboratories are reviewed. Since the introduction of proficiency testing in the late 1940s, dramatic improvement in laboratory performance has been demonstrated. Nonetheless, the poor performance found two decades earlier was summoned to support the passage of the Clinical Laboratory Improvement Act of 1967 (CLIA '67).

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