Multi-Professional Mortality Review: Supporting a Culture of Teamwork in the Absence of Error Finding and Blame-Placing
Bibliographic record
Abstract
Commitment to patient safety must be a priority of every healthcare institution. York Central Hospital has implemented a quality initiative to address multi-professional issues that result from a significant sentinel event where there is a notion of perceived wrongdoing due to an adverse and/or unexpected outcome--the Multi-Professional Mortality Review process. Unlike the traditional approach to professional review in healthcare, which results in a culture of error finding and blame-placing, this process acknowledges the fact that human errors can occur, reaffirms what is working well and ensures that steps are taken to mitigate the effects of the sentinel event under consideration. The review panel consists of healthcare professionals who have been involved in the case. The panel reviews the case and makes recommendations to senior clinical committees and hospital administration. The multi-professional review process has been met with a positive response at York Central Hospital and, to date, has served as a driving force behind the implementation of a number of systemic and professional changes.
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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 | 0.000 | 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".