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Record W4406874868 · doi:10.1139/facets-2023-0209

Inventory and characteristics of Canadian interhospital transfer coordination structures

2025· article· en· W4406874868 on OpenAlexaffvenueabout
Marie-Ève Desrosiers, Lynne Moore, David Nguyen-Tri, Aubin Armand Keundo, Denis Boutin, Caroline Ouellet

Bibliographic record

VenueFACETS · 2025
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsTransfer (computing)Computer scienceOperating system

Abstract

fetched live from OpenAlex

Several studies have described interhospital transfer coordination structures in the US but there is a lack of data on Canadian coordination systems. We aimed to develop an inventory of existing interhospital coordinating structures across Canada and to detail how they operate in terms of governance, re-sources, tools, and processes. A cross-sectional survey was designed and ten managers/medical officials from seven coordination structures of interhospital transfers across Canada completed the survey. Findings indicate that coordination systems had similar communication modalities and covered similar services including the provision of medical advice. However, they differed in terms of the profile of staff processing transfers and transportation coordination. Mature structures such as Ontario and Alberta, who manage high annual volumes, distinguish themselves with very clear, standardized, and efficient processes, as well as implemented quality and performance improvement methods including key performance indicators. These results suggest that Canada may benefit from having an inter-provincial community of practice for interhospital transfer coordination structures to promote best practices, identify solutions, and harmonize services and processes. Better harmonization in transfer coordination would improve equity in the access to healthcare services. Future research should focus on the elaboration of evidence-and consensus-based guidelines that apply to the Canadian context.

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 score0.141
Threshold uncertainty score0.999

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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