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

Computer errors in electrocardiography

J W Hurst1, C B Treasure, C S Sathavorn

  • 1Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia, USA.

Clinical Cardiology
|July 1, 1996
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

ACUTE PHASES: MYOCARDIAL INFARCTION.

A listing of research in the cardiovascular field·2014
Same author

Bio-inspired swing leg control for spring-mass robots running on ground with unexpected height disturbance.

Bioinspiration & biomimetics·2013
Same author

Cardiac manifestations of parasitic infections part 3: pericardial and miscellaneous cardiopulmonary manifestations.

Clinical cardiology·2007
Same author

Cardiac manifestations of parasitic infections. Part 2: Parasitic myocardial disease.

Clinical cardiology·2007
Same author

Cardiac manifestations of parasitic infections part 1: overview and immunopathogenesis.

Clinical cardiology·2007
Same author

Memories of patients with a giant left atrium.

Circulation·2001
Same journal

Real-World National Databases Versus Hypothesis-Driven Cohort Studies: A Reply to the Critique on the TURK-HF Registry Design.

Clinical cardiology·2026
Same journal

Comment on Wang et al.: Unaddressed Multiple Comparisons Risk Inflating Type, Error in Cardiovascular Specialty Nursing Research.

Clinical cardiology·2026
Same journal

Methodological and Statistical Confounding in Comparing Patient-Reported Outcomes Between Cardioversion and Ablation for Atrial Fibrillation.

Clinical cardiology·2026
Same journal

In-Hospital Cardiac Arrest Detection Performance Analysis and Comparison on Effective Feature Selection.

Clinical cardiology·2026
Same journal

Interpreting the Association Between Diuretic Intensity Score and Mortality: The Potential Roles of Diuretic Responsiveness and Mineralocorticoid Receptor Antagonist Therapy.

Clinical cardiology·2026
Same journal

Heart Failure With Preserved Ejection Fraction-Like Phenotype in Coronary Artery Disease and Obstructive Sleep Apnea: Insights From the RICCADSA Cohort.

Clinical cardiology·2026
See all related articles

Computer interpretation of electrocardiograms (ECG) is inadequate, making numerous errors. This technology may also impair physicians' own ECG interpretation skills.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Electrocardiogram (ECG) interpretation is a critical diagnostic skill in cardiology.
  • Automated computer interpretation of ECGs has been developed to aid clinicians.
  • The accuracy and impact of these computer systems require careful evaluation.

Observation:

  • This paper examines a specific type of error in computer-assisted ECG interpretation.
  • The identified error serves as an example of broader systemic issues with computer algorithms.
  • The study suggests a potential decline in physician proficiency due to reliance on these tools.

Findings:

  • Computer algorithms exhibit significant error rates in ECG interpretation.
  • The limitations of current computer interpretation systems are substantial.

Related Experiment Videos

  • A correlation between computer use and reduced physician interpretive ability is hypothesized.

    • Implications:

    • There is a need for improved accuracy and validation of computer-aided diagnostic tools.
    • Physicians must maintain and enhance their interpretive skills independently of technology.
    • Over-reliance on automated systems may pose risks to patient care and medical education.