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Record W4404412492 · doi:10.3138/cjms-2024-0006

Optimizing the Peripheral Venous Duplex Ultrasound Protocol to Minimize Repetitive Strain Injuries among Sonographers

2024· article· en· W4404412492 on OpenAlex
Ramandeep Kaur

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

Venue˜The œCanadian journal of medical sonography. · 2024
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsWomen's College HospitalUniversity Health Network
Fundersnot available
KeywordsDuplex (building)MedicinePeripheralUltrasoundRadiologyProtocol (science)Internal medicinePathology

Abstract

fetched live from OpenAlex

Background and Objective: Peripheral venous duplex ultrasonography is the standard imaging test to assess patients with known or suspected deep vein thrombosis. The conventional protocol for the lower extremity exam may be time-consuming and ergonomically challenging, increasing the risk for repetitive strain injuries (RSIs) among sonographers. Recognizing the high demand for these ultrasounds and the impact of RSIs on sonographers, we aimed to optimize the lower extremity peripheral venous ultrasound protocol at our institution by addressing exam components that increased exam difficulty or length. Methods: To evaluate where the protocol could be appropriately shortened, we performed (1) a review of current literature, (2) a survey of sonographers, and (3) engagement with a group of radiologists. Results: It was determined that eliminating or minimizing requirements for routine augmentations and assessment of respiratory variation would have limited clinical impact while reducing exam duration and mitigating ergonomic risks associated with peripheral venous exams. Conclusion: Evaluating conventional protocols to optimize practice will help reduce burden on staff, improve efficiency, and ultimately support more effective diagnostic care.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.340
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.294
Teacher spread0.279 · 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