Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach

The visualisation of eye-tracking scanpaths: what can they tell us about how clinicians view electrocardiograms?

“…The results of our study show a tendency toward clustering with 10/11 of the stimuli having an NNI of <0.5. This is in keeping with previous work that demonstrates people tend to focus on some leads more than others [3]. This indicates that participants were drawn toward specific features, possibly the lead or a component of the waveform that displays features of the ECG abnormality.…”

Parsing HL7 aECG Files and Segmenting Leads for Interactive Progressive-based Interpretation of the 12-Lead Electrocardiogram

“…This research also aimed to reduce the cognitive load by segmenting the 12-lead ECG into the five previously mentioned reporting components. Further motivations for this research include developing preventative measures to reduce the likelihood of 'early satisfaction syndrome' [19], [20], in which interpreters come to a conclusion prematurely. A model was created and named "Interactive Progressive based Interpretation" (IPI).…”

An Interactive Clinician:friendly Query Builder for Decision Support During ECG Interpretation

“…[1] Inadequate proficiency for ECG interpretation was found amongst non-cardiology specialties suggesting the need to improve ECG interpretation skills. [2] Research into ECG interpretation methods and on-line ECG databases [4] were conducted with a view to creating a web based intuitive query builder and clinical decision support tool "an application that analyses data to help healthcare providers make clinical decisions" [3] to assist diagnostic decision making at the point of care.…”