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Record W2727992984 · doi:10.15273/dmj.vol43no2.7056

Evaluation of efficiency in the adult cystic fibrosis clinic at the Halifax Infirmary

2017· article· en· W2727992984 on OpenAlexaffvenueabout
Justin White, Pierre F. Landry, Meredith Chiasson

Bibliographic record

VenueDalhousie Medical Journal · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsQueen Elizabeth II Health Sciences CentreHealth Sciences CentreIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsTruancyMedicineCystic fibrosisSignificant differenceEmergency medicinePediatricsInternal medicinePsychology

Abstract

fetched live from OpenAlex

The adult cystic fibrosis clinic in Halifax provides team-based care. Appointments are lengthy with high truancy. Our two-part efficiency study examined clinic flow, appointment length, and identified inefficiencies. A follow-up study was conducted to assess for improvements. Variables included total clinic time for each patient and total time spent alone waiting. Attempts to rectify problems were made after the first study. Outcomes were compared using analysis of variance. We found that patients wait significantly longer on Fridays (p < 0.05), residents did not negatively impact efficiency (p > 0.05), and patients with known methicillin-resistant Staphylococcus aureus wait significantly longer (p < 0.05). Patients who arrive earlier wait significantly longer (p < 0.05), while patients who arrive late wait less overall. No significant difference was found after the second study. Despite changing scheduling, procedures and notifying patients, no significant improvements in efficiency were found. Further measures may be required.

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)0.028
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.108
GPT teacher head0.471
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 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

Citations0
Published2017
Admission routes3
Has abstractyes

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