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

Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

1.3K
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...
1.3K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.8K
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...
6.8K
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

13.1K
The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
13.1K
Pharmacovigilance01:19

Pharmacovigilance

1.5K
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
1.5K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

2.8K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.8K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.2K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Aspiration and Bronchoscopic Retrieval of Dental Objects: A Literature Review and Data Analysis of Reported Cases.

Journal of bronchology & interventional pulmonology·2026
Same author

Arizona's Naloxone Coprescription Law: Impact on Naloxone Prescriptions for Patients Receiving High-Dose Opioids.

American journal of preventive medicine·2026
Same author

Positive fluid balance is associated with earlier acute kidney injury in COVID-19 patients.

Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures)·2026
Same author

Development of a Pelvic Organ Prolapse Misconceptions Scale for Hispanic Women.

International urogynecology journal·2026
Same author

Operator radiation exposure comparing left-radial artery and right-radial artery approaches: A systematic review and meta-analysis.

American heart journal·2026
Same author

Improving internal medicine resident proficiency in non-invasive positive pressure ventilation and oxygen modalities through simulation training.

Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR·2026

Related Experiment Video

Updated: Dec 27, 2025

Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum
04:36

Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum

Published on: August 5, 2020

4.7K

Improving Critical Value Read-Back Failure Rate by Modifying the Notification Procedure.

Shauna Harris1, William Leech1, Daniel Matienzo1

  • 1From the Departments of Obstetrics and Gynecology and Administration, Nassau University Medical Center, East Meadow, New York and the American University of the Caribbean School of Medicine, Pembroke Pines, Florida.

Southern Medical Journal
|March 4, 2020
PubMed
Summary

A new system process improved critical value read-back success by assigning the most recent document writer as the primary contact. This change significantly reduced read-back failures within 5 minutes, enhancing patient safety.

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

7.5K
Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
05:17

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Published on: October 10, 2025

263

Related Experiment Videos

Last Updated: Dec 27, 2025

Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum
04:36

Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum

Published on: August 5, 2020

4.7K
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

7.5K
Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
05:17

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Published on: October 10, 2025

263

Area of Science:

  • Healthcare Systems Improvement
  • Patient Safety
  • Clinical Communication

Background:

  • Effective communication of critical laboratory values is essential for patient safety.
  • Previous systems for reporting critical values may have had suboptimal success rates.

Purpose of the Study:

  • To evaluate the impact of a system process change on the successful read-back of critical values by the appropriate healthcare provider.
  • To determine if assigning the most recent document writer as the primary contact improved critical value communication.

Main Methods:

  • Implemented a system change assigning the most recent document writer as the
  • first call
  • physician for critical value reporting.
  • Compared read-back success rates within 5 and 30 minutes before (N=301) and after (N=201) the intervention.
  • Utilized multivariate logistic regression to analyze predictor and outcome variables.

Main Results:

  • Read-back failure within 5 minutes significantly decreased post-intervention (31.3%) compared to pre-intervention (49.5%, P < 0.001).
  • Post-intervention, odds of read-back failure were reduced (OR 0.46, P < 0.001).
  • Increased telephone calls (OR 3.12, P < 0.001) and Hispanic race/ethnicity (OR 1.77, P < 0.05) were associated with increased read-back failure odds.

Conclusions:

  • Recommends designating the physician who most recently documented patient care as the primary contact for critical value reporting.
  • This system change effectively improved timely read-back of critical values.
  • Further investigation into factors influencing read-back failure, such as patient race/ethnicity and call volume, is warranted.