165 Poster Impact and Role of an Acute Pain Service Nurse on Quality of Care
Bibliographic record
Abstract
Purpose: Following disappointing results of the implementation of a multimodal pain protocol for the control of post surgical pain we felt that the daily presence and follow-up of a dedicated pain nurse, through an acute pain service (APS) might have a greater impact on levels of post-operative pain. We present here the benefits accrued after the first two months of implementation. Methods: We have created a nurse run, anaesthesia supervised, acute pain service where rounds were consistently conducted on all post surgical patients from days one to five. The initial round of the day is completed by the APS nurse who assesses and records patient pain levels and acts as a consultant for the primary care nurse. Secondarily, joint rounds are conducted with members of the departments of nursing, anaesthesia and pharmacy. At this time, orders are changed as needed. A third set of rounds is conducted by the APS nurse to ensure that all patients whose treatment was modified are now pain free.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".