Centre intégré de cancérologie de la Montérégie : L’intégration des infirmières pivots dans les équipes d’oncologie en Montérégie : Le processus. Partie 2
Bibliographic record
Abstract
Quebec's Oncology Nurse Navigators (or "IPOs" after their French acronym) have been integrated in the entire Montérégie health care region. They have been agents of change mandated with implementing a philosophy of care that centres on the patients and their families, and is delivered by oncology teams. The goal of this second article is to describe the role of IPOs in practice, the problems encountered in the various contexts and the solutions brought forward to facilitate their integration. The training of IPOs, the support they receive from administrators, the deployment of interdisciplinary teams dedicated to oncology, the holding of regular structured interdisciplinary meetings and the training of professionals, and development of standardized work instruments are discussed. The observed impacts of introducing IPOs will also be examined.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.006 |
| 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; both teacher heads agree on what is shown here.
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".