Abstract
Purpose Point-of-care ultrasonography (POCUS) is increasingly integrated into medical education. Traditionally taught at the bedside using a hands-on approach, POCUS is limited by cost, time, faculty availability, and access to POCUS resources. With the recent transition to digitalization in medical education, the authors compare lung POCUS performance and pathology identification among medical students to examine whether using an online, self-learning lung POCUS module is noninferior to traditional bedside, faculty-led lung POCUS training. Method This study assessed the performance of 51 medical students from August to October 2021 on an elearning lung POCUS course with traditional bedside training and no training. POCUS students were scored on use of a simulator to identify pathologies, ability to identify lung ultrasonographic pathological clips, and scanning technique. Results The elearning group had a significantly higher median (interquartile range [IQR]) total test score (15/18 [10.5-16] vs. 12/18 [9-13]; P =.03) and scanning technique score (5/5 [4-5] vs. 4/5 [3-4]; P =.03) compared with the standard curriculum group. The median (IQR) accuracy in the clip segment of the examination was 7.5 of 10 (4-9) in the self-learning group and 6 of 10 (4-7) in the standard curriculum group (P =.18). The median (IQR) grade on the simulator segment of the examination was 2 of 3 (2-3) in the self-learning group and 2 of 3 (1-2) in the standard curriculum group (P =.06). Conclusions This study suggests that self-directed elearning of lung POCUS is at least noninferior to bedside teaching and possibly even a superior method of learning lung POCUS. This teaching method POCUS is feasible for medical students to learn lung ultrasonography and has potential to complement or augment the traditional learning process or eliminate or lessen the requirement for bedside teaching by reaching a larger audience while minimizing costs and human resources.
Original language | American English |
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Pages (from-to) | 304-309 |
Number of pages | 6 |
Journal | Academic Medicine |
Volume | 99 |
Issue number | 3 |
DOIs | |
State | Published - 1 Mar 2024 |
All Science Journal Classification (ASJC) codes
- Education