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Record W2142682369 · doi:10.60692/3tpn2-ymq45

Cuidados de enfermagem e segurança do paciente: visualizando a organização, acondicionamento e distribuição de medicamentos com método de pesquisa fotográfica

2010· article· pt· W2142682369 on OpenAlexaff
Anna Carolina Raduenz, Priscila Hoffmann, Vera Radünz, Isabel Cristina Alves Maliska, Patrícia Marck

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2010
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesGerontologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

Neste estudo qualitativo, adaptou-se o metodo de pesquisa fotografica de estudos anteriores, para identificar fatores relacionados a organizacao, acondicionamento e distribuicao que poderiam levar a erros na selecao, preparo e administracao de medicamentos. O recorte da pesquisa apresentado foi desenvolvido em unidade de clinica medica de um hospital publico, Brasil. Os participantes da pesquisa foram enfermeiros que trabalhavam naquela unidade e academicos dos dois ultimos semestres do curso de graduacao em Enfermagem. Obtiveram-se fotografias digitais do sistema de medicacao e, subsequentemente, utilizou-se a elicitacao das fotos para rever imagens com os participantes da pesquisa, a fim de obter suas percepcoes e narrativas a respeito do trabalho com medicamentos, naquela unidade. Apresenta-se uma selecao dos principais achados da pesquisa sobre organizacao, acondicionamento e distribuicao de medicamentos, indicando que ha espaco para melhorar a seguranca do sistema de medicacao.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0050.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.303
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; both teacher heads agree on what is shown here.

Study designSimulation or modeling
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

Citations9
Published2010
Admission routes1
Has abstractyes

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