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Related Concept Videos

Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Random and Systematic Errors01:20

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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Errors in Global Positioning System01:26

Errors in Global Positioning System

Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of attention,...

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Technology-induced errors: where do they come from and what can we do about them?

Elizabeth M Borycki1

  • 1School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada.

Studies in Health Technology and Informatics
|August 15, 2013
PubMed
Summary

Health Information Technology (HIT) can cause new technology-induced errors if not properly designed. This paper explores strategies for detecting and mitigating these errors through multi-faceted approaches.

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Area of Science:

  • Healthcare Informatics
  • Patient Safety
  • Medical Error Analysis

Background:

  • Health Information Technology (HIT) adoption is increasing globally.
  • HIT aims to reduce medical errors but can introduce new risks.
  • Technology-induced errors arise from complex human-HIT interactions in clinical settings.

Purpose of the Study:

  • To explore the concept of technology-induced errors in healthcare.
  • To discuss strategies for detecting and mitigating these errors.
  • To advocate for a comprehensive approach to managing HIT-related risks.

Main Methods:

  • Conceptual exploration of technology-induced errors.
  • Discussion of detection and mitigation strategies.
  • Analysis of organizational, technical, and policy-based solutions.

Main Results:

  • HIT, while beneficial, can create novel errors.
  • Proactive detection and post-occurrence reporting are crucial.
  • Organizational structures and regulatory policies are key components.

Conclusions:

  • A multi-faceted strategy is essential for managing technology-induced errors.
  • Proper design and testing of HIT are critical for patient safety.
  • Continuous vigilance and adaptation are needed to address evolving HIT risks.