Patient Safety Culture and Leadership within Canada's Academic Health Science Centres: Towards the Development of a Collaborative Position Paper
Bibliographic record
Abstract
Currently, the Academy of Canadian Executive Nurses (ACEN) is working with the Association of Canadian Academic Healthcare Organizations (ACAHO) to develop a joint position paper on patient safety cultures and leadership within Academic Health Science Centres (AHSCs). Pressures to improve patient safety within our healthcare system are gaining momentum daily. Because AHSCs in Canada are the key organizations that are positioned regionally and nationally, where service delivery is the platform for the education of future healthcare providers, and where the development of new knowledge and innovation through research occurs, leadership for patient safety logically must emanate from them. As a primer, ACEN provides an overview of current patient safety initiatives in AHSCs to date. In addition, the following six key areas for action are identified to ensure that AHSCs continue to be leaders in delivering quality, safe healthcare in Canada. These include: (1) strategic orientation to safety culture and quality improvement, (2) open and transparent disclosure policies, (3) health human resources integral to ensuring patient safety practices, (4) effective linkages between AHSCs and academic institutions, (5) national patient safety accountability initiatives and (6) collaborative team practice.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; a candidate call from one teacher head, 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".