Computer-Interpreted Electrocardiograms: Benefits and Limitations.

Details

Serval ID
serval:BIB_BFCF06B1B49D
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Computer-Interpreted Electrocardiograms: Benefits and Limitations.
Journal
Journal of the American College of Cardiology
Author(s)
Schläpfer J., Wellens H.J.
ISSN
1558-3597 (Electronic)
ISSN-L
0735-1097
Publication state
Published
Issued date
29/08/2017
Peer-reviewed
Oui
Volume
70
Number
9
Pages
1183-1192
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Abstract
Computerized interpretation of the electrocardiogram (CIE) was introduced to improve the correct interpretation of the electrocardiogram (ECG), facilitating health care decision making and reducing costs. Worldwide, millions of ECGs are recorded annually, with the majority automatically analyzed, followed by an immediate interpretation. Limitations in the diagnostic accuracy of CIE were soon recognized and still persist, despite ongoing improvement in ECG algorithms. Unfortunately, inexperienced physicians ordering the ECG may fail to recognize interpretation mistakes and accept the automated diagnosis without criticism. Clinical mismanagement may result, with the risk of exposing patients to useless investigations or potentially dangerous treatment. Consequently, CIE over-reading and confirmation by an experienced ECG reader are essential and are repeatedly recommended in published reports. Implementation of new ECG knowledge is also important. The current status of automated ECG interpretation is reviewed, with suggestions for improvement.

Keywords
Algorithms, Cardiovascular Diseases/diagnosis, Diagnosis, Computer-Assisted/standards, Electrocardiography, Humans, Reproducibility of Results, Software, algorithms, software
Pubmed
Web of science
Create date
31/08/2017 8:19
Last modification date
20/08/2019 16:34
Usage data