Implementing a Simulated Client Program: Bridging the Gap between Theory and Practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: This paper outlines the design and implementation of an innovative communication skills training program at the Ontario Veterinary College (OVC). Based upon the body of research in human medical education reporting effective results through the use of standardized patients (SPs) for this type of training, an experiential learning laboratory using simulated clients (SCs) and patients was introduced to first-year veterinary students. METHOD: One hundred and four first-year students were assigned to 12 groups of eight or nine students plus a facilitator. Each student interacted with a simulated client and a patient while being observed by peers and a facilitator. The Calgary-Cambridge Observation Guide (CCOG) was used to guide students and facilitators with performance standards and feedback. Assessment strategies were utilized. RESULTS: Implementation of this program required extensive resources, including funding, expertise, facilitator training, time allotment in an already overburdened curriculum, and administrative and faculty support. Preliminary assessment revealed high student and facilitator satisfaction. The potential of this program for student education and assessment was recognized, and it will be expanded in years 2 and 3 of the DVM (Doctor of Veterinary Medicine) curriculum. CONCLUSIONS: Medical educators have created resources, including skills checklists and experiential learning modalities, that are highly applicable to veterinary medical education. Ongoing evaluation of the program is essential to determine whether we are meeting expectations for communication competency in veterinary medicine.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it