Paper: Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives

ACL ID C14-1162
Title Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Misdiagnosis is a problem in the medical field, often related to physicians? cognitive errors. Overconfidence is considered a major cause of such errors. Intelligent diagnostic support sys- tems could benefit from understanding how aware physicians are of their performance when they estimate their confidence in a diagnosis (i.e. a physician?s diagnostic self-awareness). Shed- ding light on the cognitive processes related to such awareness could also help improve medical education. We use a multimodal dataset of medical narratives to computationally model diagnos- tic confidence and self-awareness based on physicians? linguistic and eye movement behaviors. Dermatologists viewed images of cutaneous conditions, providing a description, diagnosis, and certainty level for each image case, while...