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

Decision Making01:20

Decision Making

995
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
995
Calculating the Equilibrium Constant02:46

Calculating the Equilibrium Constant

38.1K
The equilibrium constant for a reaction is calculated from the equilibrium concentrations (or pressures) of its reactants and products. If these concentrations are known, the calculation simply involves their substitution into the Kc expression.
For example, gaseous nitrogen dioxide forms dinitrogen tetroxide according to this equation:
38.1K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

425
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
425
Calculating Standard Free Energy Changes02:49

Calculating Standard Free Energy Changes

25.6K
The free energy change for a reaction that occurs under the standard conditions of 1 bar pressure and at 298 K is called the standard free energy change. Since free energy is a state function, its value depends only on the conditions of the initial and final states of the system. A convenient and common approach to the calculation of free energy changes for physical and chemical reactions is by use of widely available compilations of standard state thermodynamic data. One method involves the...
25.6K
Calculating pH Changes in a Buffer Solution02:45

Calculating pH Changes in a Buffer Solution

58.8K
A buffer can prevent a sudden drop or increase in the pH of a solution after the addition of a strong acid or base up to its buffering capacity; however, such addition of a strong acid or base does result in the slight pH change of the solution. The small pH change can be calculated by determining the resulting change in the concentration of buffer components, i.e., a weak acid and its conjugate base or vice versa. The concentrations obtained using these stoichiometric calculations can be used...
58.8K
Numerical Calculations01:24

Numerical Calculations

1.2K
In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Professional identity formation: Who am I? Where am I going?

AEM education and training·2025
Same author

Calculated decisions: Canadian C-spine rule.

Emergency medicine practice·2023
Same author

Calculated decisions: NEXUS criteria for c-spine imaging.

Emergency medicine practice·2023
Same author

Calculated decisions: modified Rankin Scale for neurologic disability.

Emergency medicine practice·2023
Same author

Calculated decisions: NIH Stroke Scale/Score (NIHSS).

Emergency medicine practice·2023
Same author

Calculated decisions: Alberta Stroke Program Early CT Score (ASPECTS).

Emergency medicine practice·2023

Related Experiment Video

Updated: Feb 9, 2026

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
07:01

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

915

Calculated Decisions: PECARN Pediatric Head Injury/Trauma Algorithm

Daniel Runde1, Joshua Beiner2

  • 1Department of Emergency Medicine, Carver College of Medicine, University of Iowa Health Care, Iowa City, IA

Pediatric Emergency Medicine Practice
|June 13, 2018
PubMed
Summary

The Pediatric Head Injury Prediction Rule (PECARN) is a validated tool that helps doctors safely identify children without serious traumatic brain injuries. This rule aids in avoiding unnecessary head CT scans for pediatric patients.

More Related Videos

A Method to Inflict Closed Head Traumatic Brain Injury in Drosophila
05:22

A Method to Inflict Closed Head Traumatic Brain Injury in Drosophila

Published on: June 30, 2015

12.2K
Pseudofracture: An Acute Peripheral Tissue Trauma Model
10:08

Pseudofracture: An Acute Peripheral Tissue Trauma Model

Published on: April 18, 2011

15.2K

Related Experiment Videos

Last Updated: Feb 9, 2026

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
07:01

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

915
A Method to Inflict Closed Head Traumatic Brain Injury in Drosophila
05:22

A Method to Inflict Closed Head Traumatic Brain Injury in Drosophila

Published on: June 30, 2015

12.2K
Pseudofracture: An Acute Peripheral Tissue Trauma Model
10:08

Pseudofracture: An Acute Peripheral Tissue Trauma Model

Published on: April 18, 2011

15.2K

Area of Science:

  • Pediatric Emergency Medicine
  • Clinical Decision Support
  • Neurotrauma

Background:

  • Traumatic brain injuries (TBIs) are a significant concern in pediatric emergency care.
  • Accurate TBI assessment in children is crucial for appropriate management and outcomes.

Purpose of the Study:

  • To evaluate the clinical utility and validation of the PECARN Pediatric Head Injury Prediction Rule.
  • To assess the rule's effectiveness in identifying children with clinically important TBIs.

Main Methods:

  • Review of studies validating the PECARN rule in diverse pediatric populations.
  • Analysis of the rule's sensitivity, specificity, and predictive values for TBI detection.

Main Results:

  • The PECARN rule demonstrates high sensitivity in identifying children with clinically important TBIs.
  • The rule effectively facilitates the safe exclusion of TBI in a significant proportion of pediatric patients.

Conclusions:

  • The PECARN Pediatric Head Injury Prediction Rule is a reliable clinical decision aid for managing pediatric head injuries.
  • Implementation of the PECARN rule can optimize diagnostic pathways and reduce unnecessary imaging in children.