Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Data Validation01:15

Data Validation

142
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
142
Contaminants and Errors01:16

Contaminants and Errors

85
Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
85

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Recommendation on quality assurance of pneumatic transportation systems an opinion paper from the Nordic preanalytical scientific working group.

Scandinavian journal of clinical and laboratory investigation·2026
Same author

Long Troponin T to Separate Troponin Elevations Among Patients With Atrial Fibrillation Versus Myocardial Infarction.

Journal of the American Heart Association·2026
Same author

Ectopic thyroid in EBUS: experience from a quality assurance programme.

APMIS : acta pathologica, microbiologica, et immunologica Scandinavica·2023
Same author

HemoScreen hematology analyzer compared to Sysmex XN for complete blood count, white blood cell differential, and detection of leukocyte abnormalities.

EJHaem·2022
Same author

Changing Immunochemistry Platforms: Thyroid Function Test Comparison and Reference Intervals Based on Clinical Needs.

The journal of applied laboratory medicine·2022
Same author

Cost-Effectiveness of Apixaban versus Other Direct Oral Anticoagulants and Warfarin in the Prevention of Thromboembolic Complications Among Finnish Patients with Non-Valvular Atrial Fibrillation.

ClinicoEconomics and outcomes research : CEOR·2021

Related Experiment Video

Updated: Jun 5, 2025

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method
09:32

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method

Published on: September 10, 2017

10.9K

Evaluation of performance in preanalytical phase EQA: can laboratories mitigate common pitfalls?

Anna Linko-Parvinen1,2, Jonna Pelanti3,4, Tanja Vanhelo4

  • 1Tyks Laboratories, Clinical Chemistry, Turku University Hospital, Turku, Finland.

Clinical Chemistry and Laboratory Medicine
|December 13, 2024
PubMed
Summary

External quality assessment (EQA) of preanalytical errors shows good performance for common issues but highlights risks with rare requests. Optimizing information technology (IT) solutions can prevent most laboratory diagnostic errors.

Keywords:
external quality assessmentlaboratory diagnosticspreanalytical phase

More Related Videos

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
11:17

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses

Published on: August 30, 2018

12.8K
A Guide to Modern Quantitative Fluorescent Western Blotting with Troubleshooting Strategies
11:01

A Guide to Modern Quantitative Fluorescent Western Blotting with Troubleshooting Strategies

Published on: November 20, 2014

51.1K

Related Experiment Videos

Last Updated: Jun 5, 2025

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method
09:32

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method

Published on: September 10, 2017

10.9K
Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
11:17

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses

Published on: August 30, 2018

12.8K
A Guide to Modern Quantitative Fluorescent Western Blotting with Troubleshooting Strategies
11:01

A Guide to Modern Quantitative Fluorescent Western Blotting with Troubleshooting Strategies

Published on: November 20, 2014

51.1K

Area of Science:

  • Laboratory diagnostics
  • Quality management in healthcare
  • Patient safety

Background:

  • The preanalytical phase is crucial for accurate laboratory diagnostics but is susceptible to human errors.
  • External quality assessment (EQA) provides a framework for evaluating and improving laboratory performance.

Purpose of the Study:

  • To evaluate laboratory performance in handling preanalytical phase external quality assessment (EQA) cases.
  • To identify specific error types and suggest preventive actions for risk mitigation.

Main Methods:

  • Analysis of 12 EQA rounds (2018-2023) involving 36 patient cases and 54-111 participants from multiple countries.
  • Performance grading based on the percentage of correct responses, with specific criteria for excellent, good, satisfactory, fair, and poor performance.
  • Identification of 'never-events' and assessment of potential prevention through information technology (IT) solutions.

Main Results:

  • Overall performance was rated as excellent in 7 cases, good in 12, satisfactory in 10, fair in 4, and poor in 3 cases, with 7 cases showing failed performance.
  • Common errors like incorrect sample tubes or handling were managed with good performance.
  • Lower performance was observed for rare requests, abnormal results, false patient identification, and incorrect test requests. IT solutions could have prevented 33 of 36 errors.

Conclusions:

  • While common preanalytical errors are often detected, rare requests and those needing individualized assessment remain vulnerable to misinterpretation.
  • Many preanalytical errors should be identified and samples rejected before laboratory analysis.
  • Optimizing IT solutions is key to detecting preanalytical errors, allowing focus on complex cases and enhancing professional consultation. EQA cases are valuable educational tools.