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

Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

11.8K
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...
11.8K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

1.7K
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
1.7K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

11.3K
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...
11.3K
Reducing Line Loss01:18

Reducing Line Loss

430
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
430
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

7.2K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.2K
Decreased pulse rate01:14

Decreased pulse rate

1.0K
Bradycardia is a medical condition in which the heart rate is slower than normal. It occurs when the heart's natural pacemaker, the sinus node, generates slower electrical impulses than the standard rhythm. In adults, bradycardia is diagnosed when the pulse rate falls below 60 beats per minute, indicating a deviation from the normal heart rate range.
There are specific risk factors that can elevate the likelihood of developing bradycardia. Advanced age is a significant factor, with...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Bibliometric productivity of academic emergency radiology faculty in the United States: Current status.

Emergency radiology·2026
Same author

Promotion from Associate Professor to Full Professor Should Not Be Monolithic: A National Bibliometric Study by Radiology Subspecialty.

Academic radiology·2026
Same author

Predominantly middle authors in radiology: a bibliometric assessment.

Current problems in diagnostic radiology·2026
Same author

Publication metrics across radiology subspecialties: A point-in-time analysis.

Clinical imaging·2026
Same author

Scholarly Productivity in U.S. Academic Musculoskeletal Radiology Faculty: Clinical Track Versus Tenure/Research Track Analysis.

Academic radiology·2026
Same author

National trends in CT angiography use for dizziness in U.S. emergency departments: an Epic Cosmos analysis, 2016-2025.

Emergency radiology·2026

Related Experiment Video

Updated: Mar 15, 2026

Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.3K

Critical Findings: Attempts at Reducing Notification Errors.

Mona Shahriari1, Li Liu1, David M Yousem1

  • 1Division of Neuroradiology, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, Baltimore, Maryland.

Journal of the American College of Radiology : JACR
|August 28, 2016
PubMed
Summary
This summary is machine-generated.

A feedback program for reporting critical findings (CFs) significantly improved compliance among radiologists. This quality improvement initiative demonstrated sustained benefits for approximately two years, highlighting the need for periodic updates.

Keywords:
Critical findingscommunicationnotificationquality improvement

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

5.3K

Related Experiment Videos

Last Updated: Mar 15, 2026

Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.3K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

5.3K

Area of Science:

  • Medical Imaging
  • Radiology
  • Patient Safety

Background:

  • Ineffective communication of critical findings (CFs) poses a significant patient safety risk.
  • Standard operating procedures are crucial for consistent reporting of diagnostic information.

Purpose of the Study:

  • To evaluate the effectiveness of a faculty feedback program on improving compliance with critical findings reporting protocols.
  • To assess the impact of targeted feedback on reducing errors in neuroradiology report communication.

Main Methods:

  • Monthly review of 50 randomly selected neuroradiology reports over 42 months by the chief of neuroradiology.
  • Categorization of errors including failure to call, misidentification, or incorrect flagging of critical findings.
  • Statistical analysis to evaluate error reduction trends and time intervals between errors following feedback implementation.

Main Results:

  • An overall inappropriate handling rate of 2.3% (49/2100) was observed.
  • Critical findings were appropriately handled in 88.64% of cases, while non-critical findings were correctly managed in 98.97% of reports.
  • A significant reduction in error rates from 3.98% to 1.28% was observed between months 1-10 and months 11-32, persisting for 21 months.

Conclusions:

  • Regular review and feedback to radiologists demonstrably improved compliance with critical findings protocols.
  • The positive impact of the feedback program on reducing deviations from standard operating procedures lasted for approximately two years.
  • Continuous quality improvement necessitates the development of new strategies for CF policy compliance at 2- to 3-year intervals.