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Record W3010926050 · doi:10.20396/revpibic2720192275

Boas práticas em monitorização eletrocardiográfica: revisão integrativa

2019· article· pt· W3010926050 on OpenAlexaff
Wellington da Silva, Marília Estêvam Cornélio, Angela Giusti, Thaís Moreira São‐João, Maria Cecília Bueno Jayme Gallani

Bibliographic record

VenueResumos do... · 2019
Typearticle
Languagept
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPsychologyPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Objetivo: identificar as barreiras ou problemas enfrentados pelos enfermeiros para realizar a monitorização cardíaca de acordo com as recomendações atuais e apontar as intervenções realizadas para solução dos problemas identificados. Método: Foi relaizada uma revisão integrativa da literatura. Para a seleção dos estudos, utilizou-se as bases de dados PubMed, Scopus e Web of Science. Resultados: foram incluídos 20 artigos, sendo as principais barreiras para a realização da monitorização cardíaca adequada o desconhecimento sobre recomendações para a correta monitorização eletrocardiográfica e a dificuldade de interpretação do ritmo cardíaco. Estratégias de educação continuada e personalização dos parâmetros dos monitores têm demonstrado serem eficazes para que as boas práticas na monitorização cardíaca sejam implementadas nas instituições hospitalares.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.009

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 head0.013
GPT teacher head0.246
Teacher spread0.233 · 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 designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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