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Record W4385199419 · doi:10.1590/scielopreprints.6416

Modelo de maturidade de serviços de telessaúde para o cenário brasileiro (TMSMM.br)

2023· preprint· pt· W4385199419 on OpenAlex
Ivan Torres Pisa, Josceli Maria Tenório, Fernando Sequeira Sousa, Ana Cristina Carneiro Menezes Guedes, Paulo Roberto de Lima Lopes, Luíz Ary Messina, Angélica Baptista Silva

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languagept
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Este artigo descreve uma proposta de framework denominado Modelo de Maturidade de Serviços de Telessaúde (TMSMM.br) para avaliação do estágio corrente dos núcleos de telessaúde no contexto brasileiro. As etapas incluíram revisão da literatura, compilação e interpretação, instrumento de coleta, inquérito com coordenadores de núcleos, elaboração do modelo e do processo de avaliação. A revisão resultou 857 aspectos de qualidade para serviços de telessaúde, agrupados em 12 temas com 34 tópicos. TMSMM.br consiste na definição de 3 dimensões estruturantes (temas, serviços, estágios) e provê um conjunto padronizado de 200 requisitos ordenados em 5 domínios temáticos (estrutura, organização, usuário, operação e comunidade) para 8 serviços (consulta, consultoria, diagnóstico, tratamento e encaminhamento, formação e capacitação, controle social e comunicação, rede de atenção à saúde, e pesquisa, desenvolvimento e inovação). TMSMM.br colabora para que núcleos de telessaúde possam identificar e comparar características essenciais e seus estágios de maturidade.

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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.328
GPT teacher head0.482
Teacher spread0.154 · 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

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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