Effect of Multidisciplinary Case Conferences on Physician Decision Making: Breast Diagnostic Rounds
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To evaluate the utility of multidisciplinary case conferences (MCCs) on physician decision making in benign and malignant breast disease management. METHODS: Patients with interesting or challenging diagnostic or management issues were discussed at biweekly diagnostic breast MCCs. Prior to discussion, a clinical summary and intended management plan prior to the MCC was presented. For each case, diagnostic images/histopathology were centrally reviewed after which group discussion achieved a management consensus which was documented prospectively. Initial management plans were compared to the post-MCC consensus. A change in a management plan was defined as a consensus plan different from the pre-MCC plan or no definite plan prior to the MCC. RESULTS: From November 2014 to December 2015, 76 patients (43 malignant and 33 benign diagnoses) were discussed in 19 MCCs. All cases presented resulted in a consensus management recommendation. Thirty-one case discussions (41%) resulted in a changed management plan (20 malignant and 11 benign diagnoses). Management changes included avoidance of immediate surgery (9% of cases), change in the type of surgery (5%), non-invasive investigation to invasive/surgical intervention (7%), and detection of a new suspicious lesion (1%). CONCLUSION: MCCs had a substantial impact on physician decision making. Management plans changed in 41% of cases presented, the majority due to new/clarified diagnostic information. Presentation of cases at MCCs should be encouraged, especially for challenging diagnostic or management issues regarding malignant or benign breast diagnoses.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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 it