Trying to Improve Care: The Morbidity and Mortality Conference in a Division of Rheumatology
Bibliographic record
Abstract
OBJECTIVE: To describe the frequency and types of reported adverse events and system improvement recommendations in the Morbidity and Mortality Conference (M&MC) within the Division of Rheumatology at The Hospital for Sick Children, Toronto, Ontario, Canada (SickKids). METHODS: A 5-year retrospective review of the M&MC within the Division of Rheumatology at SickKids was completed. Descriptive data including the number and types of events reported were collected. Events were categorized using an adaptation of the National Coordinating Council for Medication Error Reporting and Prevention Index. Recommendations were classified according to the Institute for Safe Medication Practices Canada. RESULTS: Between January 2007 and December 2011, 30 regularly scheduled M&MC were held. Eighty-three cases were reviewed. The most common types of reported events were related to "miscommunication" (34.9%), "treatment/test/procedure" (22.9%), "adverse drug reactions" (12.0%), and "medication errors" (8.4%). Category A events ("an event that has the capacity to cause error") were the most common with 39.8% of the cases, followed by Category C events ("an event occurred that reached the patient, but did not cause harm") with 28.9%. Eighty-nine recommendations were made. Over half of these were classified as "information" (58.4%), followed by 11 "rules and policies" recommendations (12.4%). Of the 36 action items generated from these recommendations, most are either complete or ongoing. CONCLUSION: The M&MC within the Division of Rheumatology reviews a variety of events. Increased reporting of adverse events can lead to system improvements, and has the potential to improve and promote safer healthcare.
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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) | 0.001 | 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".