Strategic planning in academic paediatric hospitals: The need for child health input
Bibliographic record
Abstract
Over the past two decades, a number of Canadian paediatric academic programs, previously operated as separate hospitals, have been integrated into larger teaching hospitals or regional health authorities. The present article describes the recent experience of the Children's Hospital of Western Ontario within the London Health Sciences Centre (London, Ontario) to illustrate the potential deleterious effects of planning, system and program changes in a large academic hospital without child health input at the executive decision-making level. The vision of the London Health Sciences Centre Executive Leadership Team and Board of Directors was divergent from that of the paediatric health care providers, which resulted in the resignation of a number of paediatric subspecialists and compromised the ability of the Department of Paediatrics to deliver paediatric care and educate future professionals. The present article highlights the need for the involvement of paediatric stakeholders in strategic planning in the hope that other academic centres can learn from this experience.
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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 | 0.049 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.018 | 0.007 |
| Open science | 0.006 | 0.019 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".