Out-Of-Hospital Cardiac Arrest
Conditions
Brief summary
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.
Detailed description
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.
Interventions
The curriculum comprised of one-hour lecture and 3-hour hands-on training on a simulation model.
Sponsors
Study design
Eligibility
Inclusion criteria
Emergency physicians interested in TEE learning.
Exclusion criteria
Emergency physicians are not interested in TEE learning.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| learning outcomes:immediate assessment | 4 hours | image acquisition and image quality using 5-point Likert scales. The range from 1 (the worst) to 5 (the best). |
| learning outcomes: 3-month evaluation | 3 months | image acquisition and image quality using 5-point Likert scales. The range from 1 (the worst) to 5 (the best). |
| the efficiency of AI model | 6 months | the AI model to recognize the TEE views, including sensitivity, specificity, PPV, NPV |
Countries
Taiwan