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 Experiment Videos

A computer-assisted learning tool designed to improve clinical problem-solving skills.

F J Papa1, S Meyer

  • 1Department of Medical Education, Texas College of Osteopathic Medicine, Fort Worth 76107-2690.

Annals of Emergency Medicine
|March 1, 1989
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

An adjusted droplet digital PCR assay for quantification of vector copy number in CAR-T cell and TCR-T cell products.

Immuno-oncology technology·2025
Same author

High concordance of blood glucose measurement in dogs between a beta prototype glucometer device and a reference laboratory standard in a clinical setting.

The Journal of small animal practice·2025
Same author

Endemic-epidemic modelling of school closure to prevent spread of COVID-19 in Switzerland.

BMC infectious diseases·2024
Same author

Human papillomavirus vaccination coverage among adolescent boys and girls in the United States: A birth year cohort analysis of the National Immunization Survey-Teen, 2016-2022.

Vaccine·2024
Same author

Longitudinal two-year comparative genomic analysis of respiratory Staphylococcus aureus isolates from intensive care unit mechanically ventilated patients.

The Journal of hospital infection·2024
Same author

Exploring 'decision regret' in adjuvant-treated melanoma patients: Results from a cross-sectional survey on 200 participants.

Journal of the European Academy of Dermatology and Venereology : JEADV·2024
Same journal

Needle Thoracostomy: Implications of Chest Wall Thickness for Anatomical Location and Needle Length.

Annals of emergency medicine·2026
Same journal

Women Emergency Physicians and Gender Disparities from Entry to Advancement.

Annals of emergency medicine·2026
Same journal

Policy Statements Approved March 2026.

Annals of emergency medicine·2026
Same journal

Policy Statements.

Annals of emergency medicine·2026
Same journal

A Woman With Abdominal Pain.

Annals of emergency medicine·2026
Same journal

Man With Epigastric Pain.

Annals of emergency medicine·2026
See all related articles

This study introduces a computer-based learning program that significantly improved emergency medicine students' diagnostic accuracy for acute chest pain. The interactive software helps students refine their diagnostic protocols, enhancing clinical skills.

Area of Science:

  • Medical Education
  • Computer-Assisted Instruction
  • Emergency Medicine

Background:

  • Medical students require effective training for acute chest pain diagnosis.
  • Traditional methods may not fully address the complexity of differential diagnosis in emergency medicine.

Purpose of the Study:

  • To develop and evaluate a computer-based program to enhance acute chest pain differential diagnostic skills in emergency medicine rotations.
  • To assess the impact of interactive software on diagnostic accuracy.

Main Methods:

  • Developed a computer-based teaching program using expert system shell software.
  • Students created and refined differential diagnostic protocols for acute chest pain.
  • Utilized a training case data bank for interactive performance assessment and protocol modification.

Related Experiment Videos

Main Results:

  • Students using the program showed significantly higher diagnostic accuracy compared to a control group (P < .018).
  • The interactive feedback loop of protocol refinement and reassessment led to skill improvement.

Conclusions:

  • Computer-based learning tools, particularly interactive expert systems, can effectively improve diagnostic skills in medical education.
  • This approach offers a promising supplement to traditional clinical rotations for enhancing differential diagnosis capabilities.