Incident Management in Health Care
Bibliographic record
Abstract
BACKGROUND: Nearly 10% of patients experience a harmful patient safety incident in the hospital setting. Current evidence focuses on incident reporting, whereas little is known about how incidents are managed within organizations. PURPOSE: The aim of this study was to explore processes, tools, and resources for incident management in Canadian health care organizations. METHODS: Qualitative focus groups were conducted with key stakeholders, representing clinicians, managers, executives, governors, patients, and families (n = 45). RESULTS: Qualitative data were thematically analyzed and presented as 3 themes: (1) variations in incident reporting and management; (2) simplification of the incident management process; and (3) need for leadership to support just culture and redefine harm. CONCLUSION: The study findings support and inform efforts to create a patient safety culture in Canadian and international health care organizations. There is a need to develop a standardized, accessible incident reporting and management system for use across health care sectors to promote continuous learning and improvement about patient safety.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".