Impact of the absence of reading-interpretation of X-rays requested by patients at the adult emergencies service in the HUSJ during the first quarter of 2013
Bibliographic record
Abstract
El objetivo general es establecer el impacto económico de la no lectura de rayos X convencionales de los pacientes egresados del servicio de urgencias adultos en el HUSJ de Popayán durante el primer trimestre 2013. De las principales causas encontradas en el presente estudio las que más influyen en la no lectura de los rayos x convencionales son la falta de digitalización de las imágenes diagnósticas, ausencia o perdida de la placa de rayos x convencionales, incremento en la demanda de las imágenes diagnosticas rayos x convencionales, y por ultimo falta de personal para la ejecución de las respectivas lecturas. Lo que evidencia una falla en el funcionamiento o estructura del área de imágenes diagnósticas, de igual forma socializaremos un plan de mejoramiento para la unidad de imágenes diagnosticas con respecto a la oportunidad en la lectura de los estudios de rayos X convencionales.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 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 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".