University of Calgary
Calgary, Alberta, T2V1P9, Canada
NCT Number: NCT01752673
Medical reasoning is a form of inquiry that examines the thought processes involved in making medical decisions. When physicians are faced with patients' symptoms or signs, their thought processes follow either direct shortcuts to suspect a diagnosis or go into a deeper and more analytic process to reach a diagnosis. The second pathway is less prone to biases and errors. This study explores whether the use of an interactive visual display of probabilities of pulmonary embolism generated from positive or negative test results will increase the adherence to evidence based guidelines in the diagnosis of pulmonary embolism.
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Notify Me24 year–65 year
All sexes
Interventional
Not applicable
Calgary, Alberta, T2V1P9, Canada
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
This group of participants was presented and trained to use a visual representation of diagnostic pathway for pulmonary embolism. The design of this visual representation is based on Bayes theorem and cognition enhancing visual design principles.
This group of participants was presented with a didactic lecture covering the diagnostic approach of pulmonary embolism.
Time frame: Paper-based clinical case scenarios were completed within 2 hour after either intervention.
Concordance with medical diagnostic reasoning pathway for a case presentation suggestive of pulmonary embolism will be reflected by whether participants are stopping prematurely or proceeding with diagnostic steps inappropriately.
Time frame: Paper-based clinical case scenarios were completed within 2 hour after either intervention.
The overall time taken to solve each clinical scenario may give insight to which decision making process was predominant to solve each clinical scenario.
Time frame: Survey was completed within 2 hours after completion of either intervention.
The participants' responses to the satisfaction survey will provide feedback about the need for improvement or modification in interface of software
University of Calgary
Other
The Visualization of Uncertainty in Clinical Diagnostic Reasoning for Pulmonary Embolism: a Randomized Controlled Trial.
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