Literature DB >> 8330408

Governmental perspectives on evaluating laboratory performance.

D J Boone1.   

Abstract

The quality of laboratory analytical performance required to support medical decision-making has been defined in four major ways: (a) by the analytical variance of the state of the practice; (b) by the total variance, including analytical and biological variability; (c) by the loss of diagnostic efficiency attributable to analytical error; and (d) by medical-usefulness criteria. From the federal government's perspective, the answer to the question "How good must a laboratory test result be to be medically relevant?" must take into account the clinical context of the test, with accompanying concerns about access, timeliness, and cost, as well as limits for precision and accuracy in the analytical process and the frequency and potential patient-care impact of error in the pre- and postanalytical steps of the total testing process. Therefore, medically relevant goals should encompass not only analytical precision and accuracy but also goals to provide access to clinically effective tests and to reduce errors in the total testing process that can lead to medically misleading information. Development of more appropriate regulatory requirements for laboratories, as well as any needed improvements in instrumentation and methodology, should focus on ensuring that goals for medically relevant results are met by appropriate design and management of the entire process of laboratory testing.

Entities:  

Mesh:

Year:  1993        PMID: 8330408

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  3 in total

1.  Types and frequency of preanalytical errors in haematology lab.

Authors:  Shashi Upreti; Sanjay Upreti; Rani Bansal; Nadia Jeelani; Vinay Bharat
Journal:  J Clin Diagn Res       Date:  2013-11-10

2.  Commentary on the objectives and efficacy of proficiency testing in microbiology.

Authors:  I F Salkin; R J Limberger; D Stasik
Journal:  J Clin Microbiol       Date:  1997-08       Impact factor: 5.948

3.  Prevalence and types of preanalytical error in hematology laboratory of a tertiary care hospital in South India.

Authors:  Pitchaikaran Arul; Magesh Pushparaj; Kanmani Pandian; Lingasamy Chennimalai; Karthika Rajendran; Eniya Selvaraj; Suresh Masilamani
Journal:  J Lab Physicians       Date:  2018 Apr-Jun
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.