Can lay people identify a drug-induced QT-interval prolongation? A psychophysical and eye-tracking experiment examining the ability of non-experts to interpret an ECG
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 84376541
- Type
- D - Journal article
- DOI
-
10.1093/jamia/ocy183
- Title of journal
- Journal of the American Medical Informatics Association
- Article number
- -
- First page
- 404
- Volume
- 26
- Issue
- 5
- ISSN
- 1067-5027
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
A - Computer Science
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Electrocardiogram (ECG) are becoming available in consumer wearable devices (e.g. Apple Watch).
However, false positives result in anxiety and unnecessary further testing (DOI: 10.1016/j.tcm.2019.10.010). This work, featured in a JAMIA editorial (DOI: 10.1093/jamia/ocz027), presents the first evidence that non-experts can be rapidly trained to reliably monitor their own health. The paper received a Research Excellence Award of GBP1,000 from Taibah University in Saudi Arabia.
This work enabled a subsequent study on the use of colour and visualisation techniques to increase accuracy in detecting certain cardiac pathologies (DOI: 10.1145/3290605.3300353) which was published at CHI 2019 (23.8% acceptance rate, 2959 submissions)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
