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Record W3148164537 · doi:10.1097/acm.0000000000004118

How Are the Arts and Humanities Used in Medical Education? Results of a Scoping Review

2021· review· en· W3148164537 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAcademic Medicine · 2021
Typereview
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsNova Scotia Health AuthorityDalhousie UniversityUniversity of TorontoWestern UniversityMount Saint Vincent University
Fundersnot available
KeywordsThe artsMedical humanitiesMedical educationInclusion (mineral)Descriptive statisticsPsychologyHumanitiesMedicineVisual artsArtSocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: Although focused reviews have characterized subsets of the literature on the arts and humanities in medical education, a large-scale overview of the field is needed to inform efforts to strengthen these approaches in medicine. METHOD: The authors conducted a scoping review in 2019 to identify how the arts and humanities are used to educate physicians and interprofessional learners across the medical education continuum in Canada and the United States. A search strategy involving 7 databases identified 21,985 citations. Five reviewers independently screened the titles and abstracts. Full-text screening followed (n = 4,649). Of these, 769 records met the inclusion criteria. The authors performed descriptive and statistical analyses and conducted semistructured interviews with 15 stakeholders. RESULTS: The literature is dominated by conceptual works (n = 294) that critically engaged with arts and humanities approaches or generally called for their use in medical education, followed by program descriptions (n = 255). The literary arts (n = 197) were most common. Less than a third of records explicitly engaged theory as a strong component (n = 230). Of descriptive and empirical records (n = 424), more than half concerned undergraduate medical education (n = 245). There were gaps in the literature on interprofessional education, program evaluation, and learner assessment. Programming was most often taught by medical faculty who published their initiatives (n = 236). Absent were voices of contributing artists, docents, and other arts and humanities practitioners from outside medicine. Stakeholders confirmed that these findings resonated with their experiences. CONCLUSIONS: This literature is characterized by brief, episodic installments, privileging a biomedical orientation and largely lacking a theoretical frame to weave the installments into a larger story that accumulates over time and across subfields. These findings should inform efforts to promote, integrate, and study uses of the arts and humanities in medical education.

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)0.003
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.623
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.171
GPT teacher head0.470
Teacher spread0.299 · 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