Facilitating Innovation in the Clinical Setting: A Pathway for Operationalizing Accountability
Bibliographic record
Abstract
Innovation is essential to ongoing improvements in quality healthcare, yet healthcare institutions continue to struggle with the challenge of how best to operationalize the multiple commitments to risk minimization, accountability, the defensible use of resources and quality innovative practices. An ideal pathway would be one that adheres to both the ethical values of the institution in which the innovation is being introduced and relevant legal standards in a way that preserves the innovators' imagination and enthusiasm while ensuring scientific rigour and accountability. An interdisciplinary team at the Hospital for Sick Children in Toronto, Ontario, developed a policy-entrenched pathway f or managing the introduction of innovative procedures in surgery. This article describes the innovation pathway and the steps; taken in its development.
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.
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 | 0.243 | 0.218 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.075 |
| Scholarly communication | 0.029 | 0.024 |
| Open science | 0.004 | 0.025 |
| Research integrity | 0.021 | 0.025 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".