Improving on-time surgical starts in an operating room.
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
BACKGROUND: Operating rooms are expensive to run, and hospitals strive to be efficient. The purpose of this study was to evaluate an initiative to improve starting on time in the operating room in an academic pediatric hospital. METHODS: We used an 8-step approach to transforming an organization. A multidisciplinary team defined on-time starts, identified reasons for delays and instituted changes, including improving the same-day admission process, instituting a huddle of operating room staff each morning and providing feedback about on-time starts to staff. RESULTS: The most common reasons for delay were surgeon and anesthesiologist unavailability and lack of preparedness of patients. The percentage of operations that began on time, defined as the patient being in the room, increased from about 6% to 60% over a 9-month period. CONCLUSION: A targeted, multifaceted and multidisciplinary approach can increase the percentage of operations that begin on time in a pediatric hospital.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it