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Record W7019896334

Incidencia y prevención de eventos adversos en el traslado intrahospitalario del paciente crítico.Implicación de la enfermería.

2017· dissertation· es· W7019896334 on OpenAlexaboutno aff

Bibliographic record

VenueUVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · 2017
Typedissertation
Languagees
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative analysisElderly peopleData source
DOInot available

Abstract

fetched live from OpenAlex

El traslado intrahospitalario para la realización de pruebas/terapias fuera de la UCI supone un riesgo para el paciente crítico. Durante la movilización se pueden producir multitud de complicaciones que, de ser correctamente organizado el traslado, podrían prevenirse. \nObjetivo: Identificar eventos adversos y factores de riesgo relacionados con el traslado intrahospitalario del paciente crítico, así como medidas de seguridad para evitarlos. \nMétodo: Revisión bibliográfica cuyas fuentes documentales (PubMed, Google académico, Elsevier y diferentes revistas científicas) se referencian según las normas de Vancouver. Los artículos utilizados se encuentran tanto en castellano como en inglés, y datan de 2000 hasta 2016. \nConclusiones: Es necesario unificar criterios mediante la creación de protocolos sobre el traslado de pacientes críticos, así como listados de verificación pretraslado. Así mismo, los profesionales de las UCIs han de ser específicamente entrenados para realizar estos procesos, especialmente aquellos que carezcan de experiencia.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.012
GPT teacher head0.321
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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Same venueUVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid)Same topicPatient Safety and Medication ErrorsFrench-language works237,207