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Planning and administration of environmental security and care in health services / Planejamento e administração da segurança ambiental e do cuidado nos serviços de saúde

2018· article· pt· W2782900619 on OpenAlexfundno aff
Eduardo Malta de Carvalho, Frances Valéria Costa e Silva, Paula Raquel dos Santos

Bibliographic record

VenueRevista de Pesquisa Cuidado é Fundamental Online · 2018
Typearticle
Languagept
FieldMedicine
TopicHealthcare and Environmental Waste Management
Canadian institutionsnot available
FundersFundação Oswaldo CruzUniversidade do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e TecnológicoUniversité du Québec en Outaouais
KeywordsHumanitiesGynecologyPsychologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

Objetivo: Identificar se as informações que os gerentes detêm sobre seu espaço de trabalho podem subsidiar as ações gerenciais relacionadas à segurança do paciente e do trabalhador. Método: Estudo descritivo baseada na aplicação da ferramenta administrativa 6W3H em um setor de radiodiagnóstico de um hospital universitário. Aplicou-se um questionário dirigido aos chefes desse setor.. Resultado: As respostas encontradas nos permitiram inferir que há implicações no modo da implementação do conhecimento do gerente sobre o uso desta intervenção nos processos produtivos em serviços de saúde repercutindo na segurança do paciente e do trabalhador. Conclusão: O processo de trabalho descrito não foi identificado integralmente. Existem lacunas de conhecimento para subsidiar ações gerenciais relacionadas à segurança do paciente e do trabalhador. Sugerimos a integração aplicada de métodos das comissões científicas em serviços de saúde a ferramenta, pois será um elemento colaborador ao aprimoramento da promoção da segurança para o paciente e o trabalhador.

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)0.005
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.018
GPT teacher head0.317
Teacher spread0.300 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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