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Record W2547448670 · doi:10.33588/fem.191.824

Actividades profesionales confiables (APROC): un enfoque de competencias para el perfil médico

2016· article· es· W2547448670 on OpenAlexaboutno aff
Carlos Alberto Soto-Aguilera, Karina Robles-Rivera, Guillermo Fajardo-Ortíz, A. Ortiz-Montalvo, Alicia Hamui-Sutton

Bibliographic record

VenueEducación Médica · 2016
Typearticle
Languagees
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySociologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

espanolLa implementacion de la educacion basada en competencias ha revolucionado de manera global la forma de aprender y ensenar medicina. Las competencias corresponden a las atribuciones que todo medico debe de poseer, y surgieron a partir de las Canadian Medical Education Directives for Specialists y el Accreditation Council for Graduate Medical Education (ACGME). Para lograr su adquisicion, ha sido necesario implementar las actividades profesionales confiables (APROC), termino acunado por Ten Cate y Scheele, cuya finalidad ha sido vincular el concepto de competencias con la practica. Se trata de actividades clinicas que los aprendices deben realizar para lograr dominarlas sin supervision. El Milestone Project creado por el ACGME surgio para enriquecer las competencias, y cada especialidad debe definir las propias y decidir el nivel de desempeno que espera de sus alumnos en cada ano de la especialidad. Para lograr aplicar las APROC es necesario que su diseno sea acorde con los objetivos del plan de estudios y requisitos del perfil del graduado. Diversas instituciones educativas de diferentes paises han implementado este innovador modelo de ensenanza, entre los que destacan Canada, Estados Unidos, Reino Unido, Australia, Nueva Zelanda y Paises Bajos. El proposito de este articulo es difundir nuevas propuestas para la educacion medica que logren vincular el perfil de competencias con la practica clinica rutinaria, para que los facultativos logren empoderamiento de estas nuevas herramientas y las puedan aplicar de manera eficiente en la ensenanza de los estudiantes, y una de estas son las APROC. EnglishThe implementation of competency-based education has revolutionized the way of learning and teaching medicine globally. Competencies are the responsibilities that all physicians must possess; they emerged from the Canadian Medical Education Directives for Specialists (CanMEDS) and Accreditation Council for Graduate Medical Education (ACGME). To achieve the acquisition of these competencies, it has been necessary to implement Entrustable Professional Activities (EPAs), term coined by Ten Cate and Scheele, its purpose has been to link the concept of competencies with the practice. EPAs are clinical activities that learners must carry out for master them without supervision. The Milestone Project created by the ACGME was founded in order to enrich the competencies, where each specialty should define their own and decide the level of performance expected of students in each postgraduate year of the specialty. To apply the EPAs it is necessary that its design is consistent with the objectives of the curriculum and requirements of the profile of the graduate. Several educational institutions in different countries have implemented this innovative model of teaching, including: Canada, United States of America, United Kingdom, Australia, New Zealand and the Netherlands. The purpose of this article is to spread new proposals for medical education that link the competencies with the daily basis practice in medicine to allow clinicians to achieve empowerment of these new tools and can apply them efficiently to the teaching of students, being one of these tools the EPAs.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.021
GPT teacher head0.335
Teacher spread0.313 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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