Literature DB >> 16777525

Accuracy of electrocardiogram interpretation by cardiologists in the setting of incorrect computer analysis.

Daejoon Anh1, Subramaniam Krishnan, Frank Bogun.   

Abstract

BACKGROUND: Overreading of 12 lead electrocardiograms (ECGs) is required to circumvent errors of computerized ECG interpretation. The accuracy of the overreading physician's interpretation of ECGs that were incorrectly read as atrial fibrillation by a computer algorithm has not been systematically examined.
METHODS: A total of 2298 ECGs with the computerized interpretation of atrial fibrillation from 1085 patients were analyzed by 2 electrophysiologists, who identified 442 ECGs (19%) from 382 patients (35%) that were incorrectly interpreted as atrial fibrillation. Charts were reviewed to determine the interpretation of the ECG by the ordering physician (primary reader) and the overreading cardiologist.
RESULTS: Cardiologists as primary readers more often corrected the misinterpreted ECGs as compared with internists, emergency physicians, or other specialists (94% vs 71%, P < .001). Surprisingly, interpretations by cardiologists as primary readers were more accurate than the interpretation provided by overreading cardiologists (94% vs 72%, P < .001).
CONCLUSION: Knowledge of an individual patient on whom an ECG is ordered may result in a more critical rhythm assessment and might account for the higher accuracy of rhythm interpretation by the cardiologist as compared with the interpretation by the overreading cardiologist who is lacking relevant clinical information.

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Year:  2006        PMID: 16777525     DOI: 10.1016/j.jelectrocard.2006.02.002

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  11 in total

1.  Accurate ECG diagnosis of atrial tachyarrhythmias using quantitative analysis: a prospective diagnostic and cost-effectiveness study.

Authors:  David E Krummen; Mitul Patel; Hong Nguyen; Gordon Ho; Dhruv S Kazi; Paul Clopton; Marian C Holland; Scott L Greenberg; Gregory K Feld; Mitchell N Faddis; Sanjiv M Narayan
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Review 2.  Machine Learning Approaches in Cardiovascular Imaging.

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3.  Using simultaneous scanpath visualization to investigate the relationship between accuracy and eye movement during medical image interpretation.

Authors:  Alan Davies; Simon Harper; Markel Vigo; Caroline Jay
Journal:  J Eye Mov Res       Date:  2018-02-24       Impact factor: 0.957

4.  [Interobserver agreement on electrocardiographic diagnosis of left ventricular hypertrophy in hypertensive patients in Andalusia. PREHVIA study].

Authors:  Enrique Martín-Rioboó; Amador López Granados; Luis Cea Calvo; Luis Angel Pérula De Torres; Emilio García Criado; Manuel P Anguita Sánchez; Lisardo García Matarín; Rafael Molina Díaz; Tomas Ureña Fernández
Journal:  Aten Primaria       Date:  2009-04-26       Impact factor: 1.137

5.  Exploring the Relationship Between Eye Movements and Electrocardiogram Interpretation Accuracy.

Authors:  Alan Davies; Gavin Brown; Markel Vigo; Simon Harper; Laura Horseman; Bruno Splendiani; Elspeth Hill; Caroline Jay
Journal:  Sci Rep       Date:  2016-12-05       Impact factor: 4.379

6.  A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation.

Authors:  Stephen W Smith; Jeremy Rapin; Jia Li; Yann Fleureau; William Fennell; Brooks M Walsh; Arnaud Rosier; Laurent Fiorina; Christophe Gardella
Journal:  Int J Cardiol Heart Vasc       Date:  2019-09-08

7.  A comprehensive artificial intelligence-enabled electrocardiogram interpretation program.

Authors:  Anthony H Kashou; Wei-Yin Ko; Zachi I Attia; Michal S Cohen; Paul A Friedman; Peter A Noseworthy
Journal:  Cardiovasc Digit Health J       Date:  2020-09-08

8.  An artificial intelligence-enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the 'Turing test'?

Authors:  Anthony H Kashou; Siva K Mulpuru; Abhishek J Deshmukh; Wei-Yin Ko; Zachi I Attia; Rickey E Carter; Paul A Friedman; Peter A Noseworthy
Journal:  Cardiovasc Digit Health J       Date:  2021-05-05

9.  Man versus machine? Acquired long QT syndrome in a patient with anorexia nervosa.

Authors:  Tomio Tran; Michael Brunnquell; Philip S Mehler; Mori J Krantz
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-09-24       Impact factor: 1.468

10.  Investigating the effect of clinical history before electrocardiogram interpretation on the visual behavior and interpretation accuracy of clinicians.

Authors:  Alan Davies; Simon Harper; Markel Vigo; Caroline Jay
Journal:  Sci Rep       Date:  2019-08-05       Impact factor: 4.379

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