Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms-Reference-Cited by-同舟云学术

Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms

Published:2018-11 Issue:6 Volume:51 Page:S6-S11
ISSN:0022-0736
Container-title:Journal of Electrocardiology
language:en
Short-container-title:Journal of Electrocardiology

Author:

Bond Raymond R.,Novotny Tomas^ORCID,Andrsova Irena,Koc Lumir,Sisakova Martina,Finlay Dewar,Guldenring Daniel,McLaughlin James,Peace Aaron,McGilligan Victoria,Leslie Stephen J.,Wang Hui,Malik Marek^ORCID

Funder

European Union's INTERREG VA

Ministry of Health, Czech Republic

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference19 articles.

1. A simulation tool for visualizing and studying the effects of electrode misplacement on the 12-lead electrocardiogram;Bond;J Electrocardiol,2011

2. The effects of electrode misplacement on clinicians' interpretation of the standard 12-lead electrocardiogram;Bond;Eur J Intern Med,2012

3. Human factors analysis of the CardioQuick patch®: a novel engineering solution to the problem of electrode misplacement during 12-lead electrocardiogram acquisition;Bond;J Electrocardiol,2016

4. Effects of electrode placement errors in the EASI-derived 12-lead electrocardiogram;Finlay;J Electrocardiol,2010

5. A decision support system and rule-based algorithm to augment the human interpretation of the 12-lead electrocardiogram;Cairns;J Electrocardiol,2017

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