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Record W1650611431 · doi:10.12927/hcq.2015.24290

Extramural Pilot Project: Designated On-Call Intensivist in Tertiary Care Centre Improves Access to Critical Care Consultation/Referral and Resources

2015· article· en· W1650611431 on OpenAlexaff
Michael D. Sharpe, Carrie Jeffreys, Claudio M. Martin, Michael Barrett, Fran Priestap, Michelle B. Pierce, Judy Kojlak

Bibliographic record

VenueHealthcare Quarterly · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsIntensivistReferralMedicineCritically illBest practiceMedical emergencyNursingCall centreIntensive careIntensive care medicinePolitical science

Abstract

fetched live from OpenAlex

Timely consultation with an intensivist will promote early and appropriate management of critically ill patients. We determined whether implementing a call roster of intensivists who did not have on-call responsibilities in an intensive care unit (ICU) and who received referrals from community physicians would improve access to critical care services. This program created efficiencies to critical care services by: timely access to consultation with an intensivist (<10 minutes) and/or subspecialist, timely referral to an appropriate institution (<30 minutes) and optimal resource utilization by determining the availability of ICU beds at non-tertiary care hospitals capable of providing the care needs of the patient, thus relieving pressure on the neighbouring tertiary/quaternary care centre.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.066
GPT teacher head0.339
Teacher spread0.273 · 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 designQualitative
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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