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Record W124987571

Best practices in stroke care.

2005· article· en· W124987571 on OpenAlexaffabout
Susan Bisaillon, Linda Kelloway, Kathryn LeBlanc, Nicole Pageau, Nadia Woloshyn

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsTrillium Health Centre
Fundersnot available
KeywordsExcellenceBest practiceStroke (engine)Christian ministryRehabilitationHealth careMedicineQuality managementAcute strokeQuality (philosophy)NursingMedical emergencyBusinessEmergency departmentPhysical therapyPolitical scienceEngineeringService (business)
DOInot available

Abstract

fetched live from OpenAlex

In 2001, the Ontario Ministry of Health and Long-Term Care introduced the Ontario Stroke Strategy by designating regional stroke centres across the province. The primary role of these centres is to coordinate stroke care within the region and across the care continuum in keeping with best practices. Concurrently, Trillium Health Centre was identifying best practice projects to support its ongoing quest for excellence. With Trillium designated as a regional stroke centre, acute ischemic stroke care was an obvious choice for a best practice project. The aim of the project was to improve access to care and quality of care for stroke patients from emergency through acute care to in-patient rehabilitation. The team chose the rapid cycle change methodology. This approach to quality improvement advocates the testing of a series of small changes (i.e., process improvement ideas) in tandem with measurements to assess the impact of the change to drive further process improvements. The project was deemed a success, resulting in significant improvements in the timeliness and quality of care.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.001

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 head0.353
GPT teacher head0.512
Teacher spread0.159 · 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 designOther design
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

Citations4
Published2005
Admission routes2
Has abstractyes

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