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Record W3041128630 · doi:10.1097/acm.0000000000003594

Medical Education Amid the COVID-19 Pandemic: New Perspectives for the Future

2020· article· en· W3041128630 on OpenAlexaffabout
Heidi Oi‐Yee Li, Adrian Bailey

Bibliographic record

VenueAcademic Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPublic healthHealth careMedical educationPromotion (chess)PandemicPsychologyPublic relationsMedicineNursingCoronavirus disease 2019 (COVID-19)Political science

Abstract

fetched live from OpenAlex

In response to the COVID-19 pandemic, many medical schools worldwide canceled clinical rotations, resulting in the loss of essential learning opportunities. Subsequently, many medical students reported significant anxiety and stress stemming from the uncertainty surrounding their education and the impact of these changes on their future careers. To address this problem, we recommend looking beyond missed clinical learning opportunities and reflecting on the true purpose of medical education—namely, to train well-rounded physicians. Across the United States, Canada, and the United Kingdom, medical students like ourselves mobilized to organize initiatives to support health care workers, community members, and public health efforts. Understanding the importance of public health promotion and education, medical students assisted in contact tracing and public health counseling. Advocating for vulnerable populations, they provided support to seniors through virtual companionship programs and grocery services. Noticing the struggle of frontline health care workers to find personal support, students collaborated to provide free childcare, pet care, and run errands. Observing a shortage of personal protective equipment, they collected these items to donate to various health care institutions. Recognizing the vast amount of information on COVID-19, students conducted knowledge translation to create accessible documents for the public. Understanding the urgent need for research, they applied their lab skills to contribute to research initiatives. Through this work, we and our fellow medical students learned that medical education does not solely rely on classes and rotations. Rather, it is lifelong learning in different environments and circumstances, and this is true among medical schools worldwide and is applicable beyond the current COVID-19 pandemic. In Canada, the CanMEDS framework describes 7 competencies that guide all learning objectives in medical education. Notably, 5 of the 7 CanMEDS roles focus not on the knowledge physicians possess but on the essential skills they exemplify: collaborator, leader, health advocate, professional, and communicator. Developing these roles is fundamental in the journey to becoming well-rounded future physicians, and we are, in effect, pursuing them in our contributions to the COVID-19 initiatives we described above. Despite the uncertainty of when formal clinical learning will resume, we recommend that students seek unorthodox ways to continuously advance their education outside the clinical sphere. Doing so will inspire them to continue to learn and to become more compassionate and well-rounded future physicians. The incorporation of community volunteering into medical education and its educational value are unexpected blessings from the COVID-19 pandemic and should be implemented into the traditional medical curriculum to enrich learning, even in the postpandemic world.

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)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.247
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.439
Teacher spread0.363 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations41
Published2020
Admission routes2
Has abstractyes

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