Early clinical exposure during medical school: Omani medical students and interns experience
Bibliographic record
Abstract
<br><b>Introduction:</b> Early clinical exposure (ECE) is a teaching learning methodology, which fosters the exposure of the medical students to the patients as early as the 1<sup>st</sup> year of medical college. A hospital-based educational system provides the exposure to the clinical environment by direct contact with patients, including bedside teaching and applying skills and knowledge. <b>Aim:</b> evaluate the impact of ECE of Omani medical students on their attitude, knowledge, and skills. <b>Methods:</b> A cross-sectional study. A designed questionnaire was sent to more than 500 Omani medical students in Sultan Qaboos University (SQU) and National University (NU). The questionnaire consists two sections. The first section included personal demographic information. The second part included questions to evaluate the quantity and quality of ECE and questions directed toward knowing the current perception of Omani students toward the importance of ECE in terms of developing knowledge and skills. Fifteen questions were asked in the questionnaire. <b>Results:</b> There were a total number of 191 students who participated in this study with a response rate of 44%. The vast majority of them were females represented 73.8. Nearly 63.4% were from SQU and 31.8% were from NU. Sixty-eight percent of the participants are in their 5<sup>th</sup>, 6<sup>th</sup>, 7<sup>th</sup> year, intern, and postintern academic status. There is a significant relationship between getting clinical exposure during preclinical years and fast adaptation in early clinical years with <i>P</i> < 0.05. <b>Conclusion:</b> ECE is a vital part of the preclinical curriculum and should be further enhanced by creating more opportunities to receive clinical and practical training in hospitals.<br>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".