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Dataset Information

Validation of a Novel Digital Tool in Automatic Scoring of an Online ECG Examination at an International Cardiology Meeting.


ABSTRACT:

Background

We have previously developed a novel digital tool capable of automatically recognizing correct electrocardiography (ECG) diagnoses in an online exam and demonstrated a significant improvement in diagnostic accuracy when utilizing an inductive-deductive reasoning strategy over a pattern recognition strategy. In this study, we sought to validate these findings from participants at the International Winter Arrhythmia School meeting, one of the foremost electrophysiology events in Canada.

Methods

Preregistration to the event was sent by e-mail. The exam was administered on day 1 of the conference. Results and analysis were presented the following morning to participants.

Results

Twenty-five attendees completed the exam, providing a total of 500 responses to be

SUBMITTER: Quinn KL 

PROVIDER: S-EPMC6931661 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature