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Record W2070445434 · doi:10.3109/0142159x.2012.737968

A scoping review of undergraduate ambulatory care education

2012· review· en· W2070445434 on OpenAlexafffundabout
Camille K. Williams, Yvonne Hui, Debaroti Borschel, Heather Carnahan

Bibliographic record

VenueMedical Teacher · 2012
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsThe Wilson CentreWomen's College HospitalUniversity of Toronto
FundersHospital for Sick Children
KeywordsScholarshipMedical educationBest practiceGrey literatureFaculty developmentMEDLINEMedicineInterdisciplinarityAmbulatory careProfessional developmentPolitical scienceHealth care

Abstract

fetched live from OpenAlex

BACKGROUND: Since a disproportionate amount of medical education still occurs in hospitals, there are concerns that medical school graduates are not fully prepared to deliver efficient and effective care in ambulatory settings to increasingly complex patients. AIMS: To understand the current extent of scholarship in this area. METHOD: A scoping review was conducted by searching electronic databases and grey literature sources for articles published between 2001 and 2011 that identified key challenges and models of practice for undergraduate teaching of ambulatory care. Relevant articles were charted and assigned key descriptors, which were mapped onto Canadian recommendations for the future of undergraduate medical education. RESULTS: Most of the relevant articles originated in the United States, Australia, or the United Kingdom. Recommendations related to faculty development, learning contexts and addressing community needs had numerous areas of scholarly activity while scholarly activity was lacking for recommendations related to inter-professional practice, the use of technology, preventive medicine, and medical leadership. CONCLUSIONS: Systems should be established to support education and research collaboration between medical schools to develop best practices and build capacity for change. This method of scoping the field can be applied using best practices and recommendations in other countries.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.554
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.075
GPT teacher head0.466
Teacher spread0.391 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations15
Published2012
Admission routes3
Has abstractyes

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