This study aims to establish a novel transesophageal echocardiography (TEE) simulation curriculum based on previous research results and suggestions from the American College of Emergency Physicians. To better evaluate the efficacy of the curriculum, an evaluation model utilizing artificial intelligence (AI) would be introduced. The study population is at least 60 junior physicians in the emergency department or other departments interested in TEE. After the curriculum, junior physicians could utilize TEE on cardiac arrest patients and improve diagnostic accuracy and patient outcomes.
This study aims to establish a novel TEE simulation curriculum based on previous research results and suggestions from the American College of Emergency Physicians. To better evaluate the efficacy of the curriculum, an evaluation model utilizing artificial intelligence (AI) would be introduced. The study population is at least 60 junior physicians in the emergency department or other departments interested in TEE. After the curriculum, junior physicians could utilize TEE on cardiac arrest patients and improve diagnostic accuracy and patient outcomes.
Study Type
OBSERVATIONAL
Enrollment
100
The curriculum comprised of one-hour lecture and 3-hour hands-on training on a simulation model.
Lien
Taipei, Taiwan
RECRUITINGlearning outcomes:immediate assessment
image acquisition and image quality using 5-point Likert scales. The range from 1 (the worst) to 5 (the best).
Time frame: 4 hours
learning outcomes: 3-month evaluation
image acquisition and image quality using 5-point Likert scales. The range from 1 (the worst) to 5 (the best).
Time frame: 3 months
the efficiency of AI model
the AI model to recognize the TEE views, including sensitivity, specificity, PPV, NPV
Time frame: 6 months
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