Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Data Validation

Data Validation

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:

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Reliability and Validity

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.

Development of Analytical Methods

Development of Analytical Methods

An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...

Standard Deviation of Calculated Results

Standard Deviation of Calculated Results

Standard deviation measures the spread of data around the mean value. Many large data sets follow a Gaussian distribution, also known as a normal distribution. This distribution is bell-shaped curved, with the most frequently observed value (mean or central value) in the middle. The farther away from the central value, the greater the deviation from the central value, and the lower the frequency.
A broad Gaussian distribution curve has a wider standard deviation, representing a data set with...

Comparing Experimental Results: Student's t-Test

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...

You might also read

Related Articles

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

Sort by

Same author

[Interlaboratory comparison/external quality assessment].

Annales de biologie clinique·2013

Same author

[Interpretation and analysis of the requirements of the standard EN ISO 15189: 2012].

Annales de biologie clinique·2013

Same author

[Recommendations for the preparation of the quality manual].

Annales de biologie clinique·2013

Same author

[Evaluation of the quality management system according to the standard EN ISO 15 189: 2012. Proposition for a greed].

Annales de biologie clinique·2013

Same author

[Detection of Aspergillus antigen galactomannan using ELISA method: validation of the performances of the method for accreditation].

Journal de mycologie medicale·2013

Same author

[Post-examination phase: description and management control of the process].

Annales de biologie clinique·2012

Search research articles

Related Experiment Video

Updated: Jun 1, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

[Analytical validation of the results].

A Vassault, J Arnaud, A Szymanovicz

Annales De Biologie Clinique

|May 27, 2011

Summary

Results from automatic analyzers require review before laboratory information system (LIMS) release. This ensures quality indicators meet requirements and procedures are correctly followed for accurate validation.

Area of Science:

Clinical laboratory science
Medical diagnostics technology
Laboratory automation

Context:

Clinical laboratory workflow involves automatic analyzers generating results.
Laboratory Information Systems (LIMS) are critical for managing and validating diagnostic data.
Human oversight is essential for ensuring the accuracy and reliability of automated testing.

Purpose:

To outline the necessity of a review process for results from automatic analyzers.
To emphasize the role of authorized personnel in definitive validation within LIMS.
To ensure adherence to quality indicators and procedural fulfillment in laboratory diagnostics.

Summary:

Results from automated analyzers must undergo a review before being entered into the Laboratory Information System (LIMS).

More Related Videos

Bergmeyer Glucose Quantification for Microbiological Samples

Bergmeyer Glucose Quantification for Microbiological Samples

Published on: January 17, 2025

Detection of Antibodies That Neutralize the Cellular Uptake of Enzyme Replacement Therapies with a Cell-based Assay

Detection of Antibodies That Neutralize the Cellular Uptake of Enzyme Replacement Therapies with a Cell-based Assay

Published on: September 10, 2018

Related Experiment Videos

Last Updated: Jun 1, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Bergmeyer Glucose Quantification for Microbiological Samples

Bergmeyer Glucose Quantification for Microbiological Samples

Published on: January 17, 2025

Detection of Antibodies That Neutralize the Cellular Uptake of Enzyme Replacement Therapies with a Cell-based Assay

Detection of Antibodies That Neutralize the Cellular Uptake of Enzyme Replacement Therapies with a Cell-based Assay

Published on: September 10, 2018

This review process is performed by authorized personnel to validate the data definitively.

The objective is to confirm that quality indicators align with set standards and all procedures were executed correctly.

Impact:

Enhances the reliability and accuracy of diagnostic test results.
Reduces the risk of errors in patient data within the LIMS.
Strengthens the overall quality management system in clinical laboratories.