Estudio aleatorio de tiempos de espera de pacientes según niveles de prioridad
Bibliographic record
Abstract
The study objective is to determine the waiting times of patients according to priority levels on the Loayza Hospital Emergency Service, Lima – Peru. Is un randomized, prospective, descriptive study that estimates the first assistance time, assistance length and total stay. The priority level was determined according to Andorran and Canadien Triage Model. Gomez percentil was used to value the results. The average times (minutes) of first assistance were: priority I = 35.6 +- 55.8, priority II = 50.8 +- 81.6, priority III = 31.5 +- 40.7, priority IV = 37.5 +- 67.8 y priority V = 40.8 +- 69.8. The length and total stay were directly related to the seriousness. The priority I, II y III didn’t perform with the Gomez percentil. The increased demand of emergengy services produces extend waiting times which affects negatively to the serious patients
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".