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Related Concept Videos

Measurement: Derived Units03:02

Measurement: Derived Units

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The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
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Measurement: Standard Units03:38

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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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SI Units: 2019 Redefinition01:13

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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...
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Units and Standards of Measurement01:10

Units and Standards of Measurement

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A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
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Nominal Level of Measurement00:56

Nominal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval.

Matthew Spotnitz1, Jason Patterson1, Vojtech Huser2

  • 1Columbia University Medical Center Department of Biomedical Informatics.

Studies in Health Technology and Informatics
|June 8, 2022
PubMed
Summary
This summary is machine-generated.

Harmonizing measurement concepts across healthcare research networks is crucial. This study presents five methods to generate concept sets, improving data quality and enabling robust multisite research.

Keywords:
Data AccuracyLogical Observation Identifiers Names and CodesSystematized Nomenclature of Medicine

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Area of Science:

  • Health Informatics
  • Observational Healthcare Research
  • Data Harmonization

Background:

  • Observational healthcare research relies heavily on measurement concepts.
  • Lack of concept harmonization hinders research quality in multisite networks.

Purpose of the Study:

  • To develop and validate methods for generating harmonized measurement concept sets.
  • To improve data quality and facilitate research in multisite networks.

Main Methods:

  • Developed five methods combining automated, semi-automated, and manual approaches.
  • Generated measurement concept sets for various clinical panels.
  • Validated concept set frequencies in a real-world database (CUIMC).

Main Results:

  • Semi-automated approach yielded >99% preoperative frequency for basic metabolic panel concept sets in heart transplant patients.
  • Automated and manual methods successfully generated concept sets for lumbar puncture and coagulation panels.

Conclusions:

  • The developed methods effectively generate reliable measurement concept sets.
  • Harmonized concepts enhance the quality and scope of multisite observational research.