Costos hospitalarios en el Hospital Nacional Adolfo Guevara Velasco de Essalud, primer trimestre 2018.
Bibliographic record
Abstract
The present research work entitled "HOSPITAL COSTS IN THE HOSPITAL NACIONAL \nADOLFO GUEVARA VELASCO ESSALUD, Q1 2018", has as a problem of what is \ndetermines costs in the Hospital Nacional Adolfo Guevara Velasco, first quarter 2018? and \nobjective determine how hospital costs in Hospital Nacional Adolfo Guevara Velasco, first \nquarter 2018 is structured. Post protruding in the theoretical framework is that hospital costs \nis the consolidated expenditure for consumption of the factors of production of each health \ncare center, which compared with its production allows us to obtain the average unit costs \nfor each service and/or specialty, in a given period. Given the diversity of performance that \nmakes a medical centre are divided into sectors of costs: final service, middle and general, \nreferenced by the (management General EsSalud) 1995. \nThe focus of the research is quantitative and descriptive layout of basic level, this research \nwork performed to analyze the factors of hospital costs in the final, intermediate care and \ngeneral at the National Hospital services Adolfo Guevara Velasco, first quarter 2018. The \nstatistical analysis of the results obtained allowed to reach the following conclusion: cost \nhospital in EL HOSPITAL NACIONAL ADOLFO GUEVARA VELASCO of ESSALUD, \nfirst quarter 2018, presents of hospital costs distributed in areas of costs, which are the final \ncare, intermediate care service and general service where the application of the factors of \nhospital costs are personnel, goods, medicines and services, without considering depreciation as mentioned in your resolution of general management N ° 1235-GG-95.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".