L'approche Kaizen au Centre hospitalier universitaire de Sherbrooke (CHUS) : un avantage organisationnel significatif
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
AIM: The purpose of this study was to calculate the cost savings associated with using the kaizen approach in our hospital. METHODS: Originally developed in Japan, the kaizen approach, based on the idea of continuous improvement, has considerable support in North America, including in the Quebec health care system. This study assessed the first fifteen kaizen projects at the CHUS. RESULTS: Based on an economic evaluation, we showed that using the kaizen approach can result in substantial cost savings. CONCLUSION: The success of the kaizen approach requires compliance with specific prerequisites. The future of the approach will depend on our ability to comply with these prerequisites. More specifically, such compliance will determine whether the approach is merely a passing fad or a strategy for improving our management style to promote greater efficiency.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.007 |
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