Contemporary training methods in regional anaesthesia: fundamentals and innovations
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
Over the past two decades, regional anaesthesia and medical education as a whole have undergone a renaissance. Significant changes in our teaching methods and clinical practice have been influenced by improvements in our theoretical understanding as well as by technological innovations. More recently, there has been a focus on using foundational education principles to teach regional anaesthesia, and the evidence on how to best teach and assess trainees is growing. This narrative review will discuss fundamentals and innovations in regional anaesthesia training. We present the fundamentals in regional anaesthesia training, specifically the current state of simulation-based education, deliberate practice and curriculum design based on competency-based progression. Moving into the future, we present the latest innovations in web-based learning, emerging technologies for teaching and assessment and new developments in alternate reality learning systems.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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