Enhancing Patient Safety through Undergraduate Inter-professional Health Education
Bibliographic record
Abstract
The ContextPatient safety is a timely and important topic in Newfoundland and Labrador.In 2007, the provincial government established the Commission of Inquiry on Hormone Receptor Testingconducted by Justice Cameron -as a result of significant estrogen and progesterone receptor testing errors by the Eastern Health Regional Health Authority between 1997 and 2005.Among 60 recommendations outlined in her final report, Justice Cameron recommended the establishment of clear policies relating to adverse event disclosure, electronic occurrence reporting and senior leads for quality in all regional health authorities.Also in 2007, the provincial government established the Task Force on Adverse Health Events with a mandate to "examine and evaluate how the health system identifies, evaluates, responds, and communicates" adverse events (2009: ix).The task force recommended that all regional health authorities and the provincial Department of Health and Community Services commit to a culture of patient safety.One of the 41 recommendations of the task force was that Memorial University of Newfoundland (MUN) consider implementing an inter-professional curriculum focused on patient safety and that the Canadian Patient Safety Institute (CPSI 2008) Safety Competencies Framework be used for guidance in the curriculum's development.This article describes the development, implementation and evaluation of an undergraduate inter-professional patient safety education module that resulted from this recommendation.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".