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Record W3121512360

Actividades profesionales confiables en medicina familiar, necesidad de su implementación.

2020· article· es· W3121512360 on OpenAlexaboutno aff
Bonal Ruiz Rolando

Bibliographic record

VenueEdumedHolguín2019. · 2020
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Antecedentes: Las actividades profesionales confiables (APROCs) traducen las competencias a  la practica clinica. Son una herramienta para el desarrollo curricular, sin embargo no se han incorporado  con suficiente extension en los planes de estudios de paises latinoamericanos. Objetivo: analizar el estado actual de la formacion por competencias utilizando  actividades profesionales confiables (APROC) en la medicina familiar contemporanea. Metodo: se realizo una revision bibliografica desde la Unidad Provincial de Promocion de Salud y Prevencion de Enfermedades de Santiago de Cuba, entre agosto y septiembre del 2019. Se revisaron las bases de datos: MEDLINE, MedicLatina, LILACS y Scopus. Se empleo el metodo de analisis documental de los ultimos 7 anos, se revisaron 32 articulos cientificos, 95 % de los ultimos cinco anos, incluyendo la evolucion de los  programas de especializacion de la MGI en Cuba. Resultados: se constato el aumento de los disenos curriculares  de varias especialidades en muchos paises usando el enfoque de actividades profesionales confiables. Solo se encontraron 3 articulos de desarrollo de este enfoque en la especialidad de medicina familiar: Estados Unidos (2013), Canada (2015) y Holanda (2019). Se describen las caracteristicas generales del desarrollo e implementacion de las APROC en estos paises. Se mencionan las lecciones aprendidas de  cada pais  Conclusion: Cada pais utiliza las APROC en dependencia de sus necesidades sociales y caracteristicas del sistema socioeconomico y de salud. Se hace necesario actualizar los contenidos del programa de especializacion de MGI a tono con las tendencias internacionales. Palabras claves: competencias, plan de estudio, confiabilidad, medicina familiar y comunitaria, Educacion en el trabajo,

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)0.003
metaresearch head score (Gemma)0.007
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.003

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 head0.081
GPT teacher head0.477
Teacher spread0.396 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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