A bundled approach to care: reducing the incidence of postoperative pneumonia in patients undergoing hepatectomy and Whipple procedures
Bibliographic record
Abstract
Postoperative occurrence of pneumonia can increase lengths of stay, risk of morbidity and death and health care costs. At Toronto General Hospital, we identified a high incidence of postoperative pneumonia in patients undergoing hepatectomy and Whipple procedures in 2016. To reduce the incidence of postoperative pneumonia, we implemented an evidence-based bundle approach in 2017. The bundle included the following components: oral care, incentive spirometry, coughing and deep breathing, physical activity, elevation of the head of the bed, and patient and family education. In addition to the bundle components, we provided staff education and created patient education and monitoring tools to ensure competency and compliance with the bundle components. Data collected as part of the National Surgical Quality Improvement Program were reviewed to monitor progress. In this article, we discuss our approach, aimed to reduce the incidence of postoperative pneumonia and associated health care costs in the general surgery population.
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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 | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".