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

Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

1.9K
The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
1.9K
Isothermal Processes01:21

Isothermal Processes

4.7K
A thermodynamic process that occurs at constant temperature is called an isothermal process. Heat slowly flows into the system or out of the system to maintain thermal equilibrium. Processes involving phase changes like water evaporation into steam or freezing water into ice at a constant temperature are examples of Isothermal Processes.
An ideal gas can also undergo isothermal expansion or compression.
For example, consider 1 mole of an ideal gas inside an isolated cylinder at initial volume V...
4.7K
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.6K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.6K
Isochoric and Isobaric Processes01:21

Isochoric and Isobaric Processes

4.1K
A thermodynamic process that occurs at constant volume is called an isochoric process. According to the first law of thermodynamics, heat supplied or removed from the system is partially utilized to perform work and change the internal energy of the system. However, in an isochoric process, the volume remains constant. Hence, the work done by the system is zero. Therefore, the exchange of heat changes the internal energy of the system only. 
Suppose 1000 g of water is heated from 40...
4.1K
SI Units: 2019 Redefinition01:13

SI Units: 2019 Redefinition

2.9K
Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined...
2.9K
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

1.3K
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
1.3K

You might also read

Related Articles

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

Sort by
Same author

What are the correlates of laboratory productivity in clinical laboratories in the Asia Pacific region?

Clinical biochemistry·2026
Same author

An improved approach to modelling patient reclassification: HbA<sub>1c</sub> as an example.

Clinical chemistry and laboratory medicine·2026
Same author

The value of external quality assurance programs in identifying shifts in high-sensitivity troponin assays: a case for careful selection of low-level target concentrations.

Pathology·2026
Same author

An analysis of 10 years of synovial fluid crystal external quality assurance data.

Pathology·2026
Same author

Nationwide Survey on Knowledge, Attitudes, and Practices regarding Reference Interval Utilization in Clinical Laboratories in Nepal.

EJIFCC·2026
Same author

An optimized method for setting Internal Quality Control targets (mean and limits) for multi-instrument Internal Quality Control strategies in hematology?

EJIFCC·2026
Same journal

Ethical evaluation of reflex and reflective testing in conformity with ISO 15189:2022 at the value-based laboratory medicine era.

Clinical chemistry and laboratory medicine·2026
Same journal

Emerging blood-based diagnostic strategies for tuberculosis.

Clinical chemistry and laboratory medicine·2026
Same journal

Homocitrulline and 3-year mortality in older hospitalised adults: an exploratory study.

Clinical chemistry and laboratory medicine·2026
Same journal

Impact of age partitioning on classification discordance in pediatric ferritin reference intervals.

Clinical chemistry and laboratory medicine·2026
Same journal

National implementation of LOINC: translation methodology and experience from the Polish laboratory terminology standardization project.

Clinical chemistry and laboratory medicine·2026
Same journal

Harmonization of measurement units: mission impossible or ethical imperative?

Clinical chemistry and laboratory medicine·2026
See all related articles

Related Experiment Video

Updated: Dec 25, 2025

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K

ISO/TS 20914:2019 - a critical commentary.

Ian Farrance1, Robert Frenkel2,3, Tony Badrick4

  • 1Discipline of Laboratory Medicine, School of Health and Biomedical Sciences, RMIT University, Victoria, Australia.

Clinical Chemistry and Laboratory Medicine
|April 3, 2020
PubMed
Summary
This summary is machine-generated.

The 2019 ISO/TS 20914 offers guidance for measurement uncertainty in medical labs but contains statistical inaccuracies. Key concerns include misuse of coefficient of variation and flawed calculations for eGFR and INR.

Keywords:
GUMINRISO/TS 20914analytical biascoefficient of variationestimation of glomerular filtration rate (eGFR)measurement uncertaintypooled variancepropagation of uncertaintyuncertainty in measurement

More Related Videos

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
10:24

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Published on: November 1, 2018

6.9K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

285

Related Experiment Videos

Last Updated: Dec 25, 2025

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K
Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
10:24

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Published on: November 1, 2018

6.9K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

285

Area of Science:

  • Clinical Laboratory Science
  • Metrology
  • Biostatistics

Background:

  • ISO/TS 20914, published in July 2019, provides practical guidance for estimating measurement uncertainty in medical laboratories.
  • The document claims to be based on the Evaluation of measurement data - Guide to the expression of uncertainty in measurement (GUM), JCGM 100:2008.
  • Despite its detailed examples, the guide presents several potentially misleading or incorrect statistical procedures.

Purpose of the Study:

  • To critically evaluate the statistical methodologies and statements within ISO/TS 2019.
  • To identify and highlight major concerns regarding the estimation of measurement uncertainty in medical laboratories as presented in the ISO guide.
  • To provide a detailed commentary on specific problematic areas within the ISO/TS 20914 document.

Main Methods:

  • Comparative analysis of ISO/TS 2019 with established metrological principles (GUM).
  • Identification and detailed examination of specific statistical procedures and statements within the ISO guide.
  • Case study analysis of calculations for estimated glomerular filtration rate (eGFR) and international normalized ratio (INR).

Main Results:

  • Concerns identified regarding the use and potential misuse of coefficient of variation.
  • Oversimplification and potential misleading nature of pooled variance and measurement uncertainty across changing conditions.
  • Incomplete inclusion of all known uncertainties in estimated glomerular filtration rate (eGFR) calculations.
  • Incorrect international normalized ratio (INR) calculation identified.
  • Problematic treatment of bias uncertainty and incomplete rules for evaluating combined uncertainty in functional relationships.

Conclusions:

  • ISO/TS 2019, while offering practical guidance, contains significant statistical inaccuracies and potentially misleading information.
  • Clarification and correction are needed for several statistical procedures, including coefficient of variation, pooled variance, bias uncertainty, and combined uncertainty calculations.
  • The accuracy of eGFR and INR calculations as presented in the guide is questionable, requiring further review and revision to ensure reliable measurement uncertainty estimation in medical laboratories.