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Record W7028781508

Gestión financiera y su repercusión en las prestaciones asistenciales en el Hospital Especializado III – Víctor Lazarte Echegaray – 2020

2023· dissertation· en· W7028781508 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2023
Typedissertation
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationPopulationDescriptive researchSample (material)Financial managementOrder (exchange)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

The objective of this research is to Determine the Impact of Financial Management on the Assistance Benefits of the Specialized Hospital III - Víctor Lazarte Echegaray of Trujillo - 2020.; based on determining the procedures and methods of the billing system, as well as optimizing the management of non-tax income, in order to guarantee the economic sustainability of the Specialized Hospital III - Víctor Lazarte Echegaray in the city of Trujillo. The results show that the fulfillment of the programmed goals during the first quarters of 2020 is not as expected, in the second quarter the goal is achieved, but it is still low according to the Institutional Operating Budget evaluation criteria. The research presented is applied with a non-experimental, cross- sectional descriptive design. The technique used is documentary analysis, the population is made up of the documentation of the 10 Assistance Centers of the La Libertad Assistance Network. The sample is the Specialized Hospital level III - Víctor Lazarte Echegaray of the city of Trujillo. In conclusion, it was determined that the Financial Management in the Specialized Hospital III Víctor Lazarte Echegaray of the La Libertad Assistance Network, is deficient, because the proposed goals, guidelines and compliance with the provisions issued by the superior areas are not met.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.302
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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