Les nouvelles technologies et la chaîne de la sécurité
Bibliographic record
Abstract
La technologie médicale connaît une croissance exponentielle dans le milieu de la santé, mais elle n'a toutefois pas suivi le rythme observé dans des industries similaires, telles que l'aéronautique. Les nouvelles technologies ont le potentiel d'accroître la sécurité des patients, mais si leur introduction dans le milieu de la santé n'est pas coordonnée de manière réfléchie et proactive, la chaîne de la sécurité risque de s'en trouver affaiblie, ce qui exposera les patients à des risques. Trois concepts qui représentent la chaîne de la sécurité sont décrits. Les équipes de direction et le personnel de première ligne devraient tous les connaître, les étudier et s'y investir afin de maintenir la chaîne de la sécurité intacte et d'éviter qu'un seul maillon soit affaibli par l'adoption d'une nouvelle technologie.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".