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Record W2409293273

A comparison of film-screen, CR and DR: a community hospital time-motion study.

2004· article· en· W2409293273 on OpenAlexaffabout
Mitesh Mehta, Trevor Lee

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsSt Joseph's Health Centre
Fundersnot available
KeywordsRadiographyMedicineAnkleComputed radiographyConventional radiographyDigital radiographyNuclear medicinePhysical examinationSignificant differenceRadiologySurgeryImage qualityComputer scienceInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to compare technologist efficiency for conventional radiography, computed radiography (CR) and direct radiography (DR) for two types of general x-ray examinations. The study was performed at St. Joseph's Health Centre, in Toronto, Canada. The study spanned eight calendar months. Two views of the chest and three views of the ankle were chosen as representative examinations for analysis. Patient examination times were recorded on the radiology information system for both types of studies for conventional radiography, CR and DR. There was a significant difference in average time of examination for all three types of imaging formats for chest studies and between conventional radiography and CR or DR for ankle radiographs. There was no significant difference between examination times for ankle studies when CR and DR were compared. The median time of examination of the chest was 18 minutes, eight minutes and six minutes for conventional radiography, CR and DR respectively. The median time of examination for ankle radiographs were 22 minutes, seven minutes and five minutes for conventional radiography, CR and DR respectively. Technologists efficiency is significantly improved with the implementation of a DR system and CR system when compared to conventional radiography. DR may not deliver significant improvements in efficiencies for certain types of examinations.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.058
GPT teacher head0.341
Teacher spread0.283 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2004
Admission routes2
Has abstractyes

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