Combining enhanced recovery and short-stay protocols for hip and knee joint replacements: the ideal solution
Bibliographic record
Abstract
<h3>Summary</h3> Pressure to reduce health care costs, limited hospital bed availability as well as improvements in surgical techniques and perioperative care motivated many health care centres to implement short-stay protocols for patients undergoing hip or knee arthroplasty. To improve patient outcomes and maintain care safety, we strongly believe the best way to implement a successful outpatient program would be to embrace the principles of Enhanced Recovery After Surgery (ERAS), and to improve patient recovery to a level such that the patient could leave the hospital sooner. Enhanced Recovery Canada and the Canadian Patient Safety Institute support the development of ERAS pathways for orthopedic procedures. The goal is to provide patients, health care providers and leaders with helpful tools and resources to effectively implement and sustain ERAS protocols. Reducing the rate of adverse events while reducing the length of hospital stays to less than 24 hours is a winning situation for everyone.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".