An Evaluation of Patient Safety Leadership Walkarounds
Bibliographic record
Abstract
Patient safety leadership walkarounds (PSLWA) have been identified as an effective tool to improve patient safety culture. At Hamilton Health Sciences, after one year of monthly PSLWA in all clinical and service programs, 1,351 patient safety issues were identified, of which 64-80% have been resolved or have active improvement work in progress. Five hundred staff were invited to complete a process evaluation regarding the effectiveness of the current process of PSLWA. A total of 341 surveys were returned (68%). The overall evaluation demonstrated satisfaction with the process of PSLWA; 93% of those surveyed reported that they felt comfortable openly and honestly discussing patient safety issues and had an enhanced awareness of patient safety. Five areas of opportunity for process improvement were identified: scheduling, scripts, feedback, reporting and resolving issues deferred for an organization approach. PSLWA have offered an effective way to engage leadership and staff in open discussions about patient safety and collaborative approaches for solutions suggesting an enhanced patient safety culture.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".