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Record W4367184368 · doi:10.24908/pocus.v8i1.16145

“Teaching old dogs new tricks” – POCUS Education for Senior Faculty

2023· article· en· W4367184368 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePOCUS Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationCurriculumPoint of care ultrasoundMedicineVariety (cybernetics)Experiential learningPsychologyPedagogyNursingComputer science

Abstract

fetched live from OpenAlex

Point of Care Ultrasound (POCUS) is a growing diagnostic modality across a variety of specialties and is increasingly being taught in undergraduate medical education. Uptake within internal medicine has been slow but is becoming more commonplace. Training of extant hospital medicine faculty, including senior members, in POCUS is an unmet need in graduate medical education with significant pedagogical and patient safety implications. With this in mind, we created a training program for the core teaching faculty at our academic internal medicine residency program. The experiential, hands-on curriculum explored the reasoning behind concepts and emphasized psychological safety for senior faculty learners and was successful and well-received. In our piece, we aim to explore the existing literature around training this unique population in POCUS and report on our single-center experience. We also provide a framework for how our program succeeded, collate tips derived from the expert ultrasound teachers and list pearls learned while teaching these experienced educators. Although this worthwhile effort requires planning and support, it was appreciated even by senior faculty.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.083
GPT teacher head0.430
Teacher spread0.347 · 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