A selected international appraisal of the role of the Non-Medical Surgical Assistant
Bibliographic record
Abstract
The term Non-Medical Surgical Assistant (NMSA) is not widely acknowledged in Australia but is used to describe the role of clinicians without a medical degree or qualification who provide clinical services during the perioperative phase of a patient’s journey. The role of NMSA has many configurations internationally and not all NMSA roles arise from a nursing platform. To date, the implementation of many Advanced Practice Nurse (APN) roles have lacked educational support or professional direction. The literature supports thestandardisation of APN roles where they are regulated by the profession and attained through an appropriate tertiary level qualification. In this paper, we review characteristics of the roles of the NMSAs in the United States of America, Canada, the United Kingdom and New Zealand, countries that have similar standards for practice to Australia and provide a similar standard of health care. We will discuss implications for perioperative nurses and make recommendations for a future approach which formalises the role of the NMSA for the Australian context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".