Impact of an Observation Unit and an Emergency Department-Admitted Patient Transfer Mandate in Decreasing Overcrowding in a Pediatric Emergency Department
Bibliographic record
Abstract
OBJECTIVES: The primary objective was to examine the effects of a simulated observation unit (OU) and a transfer mandate for admitted patients on pediatric emergency department (PED) patient flow indicators. The secondary objective was to report on the occupancy rate of the simulated OU. METHODS: Simulations were conducted using a previously designed and validated discrete event simulation model of our PED operations. A simulated OU was designed, and an emergency department-admitted patient transfer mandate was developed and then applied to a discrete event simulation model. Four scenarios (regular PED operations with and without a 5-bed OU and transfer mandate in all combinations) were modeled. RESULTS: A combination of an OU and an emergency department-admitted patient transfer mandate resulted in reductions in time to be seen by a physician and length of stay in patients who were triaged with urgent or emergent presentations as compared with PED operations with neither an OU nor a transfer mandate. Small improvements in fractile response were observed for patients triaged with urgent presentations. The OU without the transfer mandate had a simulated occupancy rate of 73.1%. The inclusion of the transfer mandate reduced the occupancy rate to 48.1%. CONCLUSIONS: Simulation scenario analyses predict that an OU and a transfer mandate would reduce overcapacity in the PED, with more substantial reductions in time to be seen and length of stay for patients of high acuity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".