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

Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of zero.
Arithmetic Mean01:08

Arithmetic Mean

The arithmetic mean is the most commonly used measure of the central tendency of a data set. It is defined as the sum of all the elements constituting the data set, divided by the total number of elements. It is sometimes loosely referred to as the “average.”
When all the values in a data set are not unique, the sum in the numerator can be calculated by multiplying each distinct value by its frequency.
Sometimes, the arithmetic mean of a sample can be affected by a few data points that are...
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
Introduction to z Scores01:05

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores help...

You might also read

Related Articles

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

Sort by
Same author

The role of social determinants of health in predicting pediatric anemia in primary care clinics.

Postgraduate medicine·2026
Same author

Evaluating Perceived Value of Pharmacogenomic Testing After a Personalized Therapeutics Clinic Consultation.

Clinical and translational science·2026
Same author

Effect of Timing of Secondary Alveolar Bone Grafting on Maxillary Incisor Development in Patients With Cleft Lip and Palate.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association·2025
Same author

Patient and caregiver understanding of multiple myeloma: A scoping review.

European journal of oncology nursing : the official journal of European Oncology Nursing Society·2025
Same author

Assessment and treatment of frail patients living with multiple myeloma. A guideline on behalf of the UK Myeloma Research Alliance Frailty Group.

British journal of haematology·2025
Same author

Results of the ACCOuNT Trial: A Multi-Institutional Prospective Pharmacogenomics Implementation Trial for African American Inpatients.

Clinical pharmacology and therapeutics·2025

Related Experiment Video

Updated: May 20, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Cumulative sum scoring for medical students.

Harry Murgatroyd1, John Jones, Sumaiyah Kola

  • 1Department of Anaesthesia, Leeds Teaching Hospitals Trust, West Yorkshire, UK. harrymurgatroyd@doctors.net.uk

The Clinical Teacher
|July 13, 2012
PubMed
Summary

Cumulative sum (CUSUM) scoring offers an objective method for assessing medical students' peripheral venous cannulation skills. This technique helps identify competency and provides early warnings for substandard performance, though it requires a significant number of procedures.

More Related Videos

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

Related Experiment Videos

Last Updated: May 20, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

Area of Science:

  • Medical Education
  • Clinical Skills Assessment
  • Procedural Competency

Background:

  • Subjective methods dominate clinical skills assessment in medical training.
  • Objective assessment of practical skills remains underdeveloped.
  • Cumulative sum (CUSUM) charts are utilized for auditing practical procedural success in medicine.

Purpose of the Study:

  • To present and evaluate the use of CUSUM scoring for assessing medical student competency in peripheral venous cannulation.
  • To explore modifications of CUSUM plots for early performance feedback.

Main Methods:

  • Ten medical students performed 50-65 peripheral venous cannulations each.
  • Successes and failures were sequentially recorded.
  • CUSUM plots were generated using established algorithms, with modifications for early warning and recognition of performance.

Main Results:

  • The 'learning curve' CUSUM modification indicated all students achieved competence.
  • Many students required more procedures than typically feasible during medical school to demonstrate competence.
  • The 'early warning' CUSUM modification effectively identified deviations from acceptable performance standards.

Conclusions:

  • CUSUM scoring provides an objective, user-friendly tool for assessing procedural competency and identifying substandard practice in medical professionals and students.
  • The primary limitation for medical student application is the substantial number of procedures needed for a meaningful CUSUM plot.
  • CUSUM facilitates timely intervention and targeted training to improve practical skills.