Synoptic Operative Reporting: Documentation of Quality of Care Data for Rectal Cancer Surgery
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
Operative reports can be used to evaluate quality of care indicators in surgical patients. This study evaluated documentation of preoperative and intraoperative quality of care indicators for rectal cancer surgery in synoptic reports and traditional dictated reports. Two surgeons independently reviewed 40 prospectively collected synoptic operative reports from rectal cancer cases and a case-matched historical cohort of 40 dictated reports. Rectal cancer–specific quality measures were scored in both report groups using two separate, previously validated checklists. Synoptic reports had significantly higher overall scores on both checklists 1 (mean adjusted score ± SD 76 ± 4 vs 41 ± 19, P < 0.01) and 2 (54 ± 3 vs 24 ± 11, P < 0.01; maximum score of 100 for both checklists). Synoptic reports scored significantly higher in reporting preoperative and intraoperative care indicators. Data were extracted quickly from synoptic reports (mean 3:46 vs 6:21, minutes:seconds to complete checklists, P < 0.05). Synoptic reports are associated with accurate documentation of quality of care data for rectal cancer surgery. Refining the synoptic templates used will further enhance the collection of quality indicators and reporting in complex oncologic procedures.
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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 | 0.001 | 0.006 |
| 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 | 0.000 |
| 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