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177. The Clinical Need for an Out-of-Hours Rheumatology Referral Service in a UK Teaching Hospital

2015· article· en· W2324856825 on OpenAlexaff
Chai-Yiing Ling, T. Gibson

Bibliographic record

VenueLara D. Veeken · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineReferralRheumatologyInternal medicineService (business)Family medicineTeaching hospitalPatient referralEmergency medicinePhysical therapy

Abstract

fetched live from OpenAlex

Background: Hospitals are faced with challenges of delivering an integrated, high-quality, safe and value for money services. This means that many specialist services are being reviewed in order to achieve cost saving. Our rheumatology department in a single teaching London hospital provides 24/7 services for the CTDs referral and general rheumatology services during working hours. Acute hot joints account for majority of rheumatology referral from the emergency department (ED) out of hours. Delayed or inadequate treatment of septic joints leads to joint damage. In the case of crystal arthropathies, this may lead to unnecessary admission and prolong hospital stays. As there is little information on whether a 24/7 service required for general rheumatology, we did a prospective evaluation of all acute hot joints admission via ED over 1-month period. Methods: All admissions to ED dated from 6 May to 4 June 2013 were screened for presenting complaints of pain and swelling in non-prosthetics joints. The case notes, discharge summaries and the ED CAS card were retrieved to examine the subsequent managements, route of referral and discharge destinations.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.094
GPT teacher head0.356
Teacher spread0.262 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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