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Record W4323652283 · doi:10.1186/s13089-023-00309-6

Start spreading the news: a deliberate approach to POCUS program development and implementation

2023· article· en· W4323652283 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.

Bibliographic record

VenueThe Ultrasound Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsLondon Health Sciences CentreWestern UniversityUniversity of CalgaryVictoria HospitalOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsWorkflowContext (archaeology)Process managementSustainabilityPoint of care ultrasoundQuality (philosophy)Computer scienceSustainable developmentMedical educationEngineering managementMedicineBusinessNursingPolitical scienceEngineering

Abstract

fetched live from OpenAlex

While there is an expanding body of literature on Point-of-Care Ultrasound (POCUS) pedagogy, administrative elements that are necessary for the widespread adoption of POCUS in the clinical environment have received little attention. In this short communication, we seek to address this gap by sharing our institutional experience with POCUS program development and implementation. The five pillars of our program, selected to tackle local barriers to POCUS uptake, are education, workflow, patient safety, research, and sustainability. Our program logic model outlines the inputs, activities, and outputs of our program. Finally, key indicators for the monitoring of program implementation efforts are presented. Though designed for our local context, this approach may readily be adapted toward other clinical environments. We encourage others leading the integration of POCUS at their centers to adopt this approach not only to achieve sustainable change but also to ensure that quality safeguards are in place.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.062
GPT teacher head0.380
Teacher spread0.317 · 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