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

Assessment of apical radial pulse01:25

Assessment of apical radial pulse

1.2K
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
1.2K

You might also read

Related Articles

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

Sort by
Same author

Distinct Clinical and Radiographic Phenotypes in Pediatric Patients With Moyamoya.

Pediatric neurology·2021
Same author

Anatomical Venous Variants in Children With Cerebral Sinovenous Thrombosis.

Stroke·2018
Same author

Child Neurology: Mimics of cerebral sinovenous thrombosis: A pediatric case series.

Neurology·2018
Same author

Hospital variation and risk factors for bronchopulmonary dysplasia in a population-based cohort.

JAMA pediatrics·2015
Same author

Identical ATP1A3 mutation causes alternating hemiplegia of childhood and rapid-onset dystonia parkinsonism phenotypes.

Pediatric neurology·2014
Same author

Patterns of cerebral ischemia in children with moyamoya.

Pediatric neurology·2014

Related Experiment Video

Updated: Jan 8, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

149

Clinical and education workload measurements using personal digital assistant-based software.

Daune L MacGregor1, Susan Tallett, Sharon MacMillan

  • 1Department of Pediatrics, Hospital for Sick Children, 555 University Ave, Room 1436, Toronto, Ontario, Canada M5G 1X8. daune.macgregor@sickkids.ca

Pediatrics
|October 4, 2006
PubMed
Summary

This study developed a new method using personal digital assistants to track pediatricians' clinical and educational activities. The technology successfully captured indirect patient care and educational tasks, improving workload evaluation.

More Related Videos

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

1.2K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.6K

Related Experiment Videos

Last Updated: Jan 8, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

149
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

1.2K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.6K

Area of Science:

  • Medical Education
  • Pediatrics
  • Health Services Research

Background:

  • Lack of accepted measures for pediatricians' clinical and educational activities in academic health science centers.
  • Existing workload measures often overlook indirect patient care, patient complexity, and trainee involvement.
  • Need for robust methods to justify human resources and evaluate physician performance.

Purpose of the Study:

  • To adapt personal digital assistant (PDA) technology for documenting clinical and educational activities of pediatricians.
  • To develop a practical and comprehensive method for measuring physician workload in an academic setting.

Main Methods:

  • Twenty full-time pediatricians from four subspecialty divisions participated in a 2-week data collection project.
  • Clinical and educational activities were recorded using PDAs with customized software, including details on location, diagnosis, and time.
  • Physician feedback was gathered via a 5-question evaluation form post-data collection.

Main Results:

  • The PDA-based system successfully captured a wider range of clinical and educational activities.
  • Seventy percent of participants completed the post-project evaluation form.
  • Qualitative and graphical analysis of collected data provided insights into physician activities.

Conclusions:

  • The adapted PDA technology offers a significant improvement for workload data collection in academic pediatrics.
  • This method effectively captures previously unmeasured activities, including indirect patient care (e.g., emails, calls) and educational endeavors (e.g., mentoring, lectures).
  • The findings support the development of more accurate and comprehensive physician workload evaluation tools.