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

Interpretation of the 12 ‑lead Electrocardiogram (ECG) is normally assisted with an automated diagnosis (AD), which can facilitate an ‘automation bias’ where interpreters can be anchored. In this paper, we studied, 1) the effect of an incorrect AD on interpretation accuracy and interpreter confidence (a proxy for unce rtainty), and 2) whether confidence and other interpreter features can predict interpretation accuracy using machine learning.

Source: Journal of Electrocardiology - August 10, 2018 Category: Cardiology Authors: Raymond R. Bond, Tomas Novotny, Irena Andrsova, Lumir Koc, Martina Sisakova, Dewar Finlay, Daniel Guldenring, James McLaughlin, Aaron Peace, Victoria McGilligan, Stephen J. Leslie, Hui Wang, Marek Malik Source Type: research