Quality Improvement Focused Morbidity and Mortality Rounds: An Integrative Review
Bibliographic record
Abstract
Morbidity and mortality conference (MMC) is a century-old tradition in medicine that was initially primarily focused on the review of surgical outcomes and errors. In recent years, the value of MMC in quality improvement (QI) and patient safety initiatives has been realized and incorporated into the MMCs of some disciplines and institutions. Despite this, there is a need for a standardized structure of MMC that emphasizes both QI and patient safety. The purpose of this integrative review is to synthesize the literature on MMC structure that is reflective of QI and patient safety. An integrative literature search was carried out using PubMed and MEDLINE. Abstracts were reviewed and non-relevant articles were excluded. Exclusion criteria were no mention of MMC, analysis of specific case, no focus on QI or patient safety, and non-English language. A total of 21 articles were identified for review. Articles were reviewed in their entirety for content regarding structuring of the MMC to reflect and further develop QI and patient safety. The follwing three themes emerged that were consistently identified as being important for restructuring MMCs: (1) the importance of careful case selection, (2) the format of discussion during the conferences, and (3) the action plans reflecting QI initiatives derived from the conferences. The review suggests that one standardized method of MMC implementation that encompasses the three pivotal themes should be developed. Further research needs to focus on instituting measures of effectiveness for the new MMC model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".