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Record W3004991863 · doi:10.12927/hcq.2020.26050

National Patient Safety Consortium: Learning from Large-Scale Collaboration

2020· article· en· W3004991863 on OpenAlexaffvenueabout
Sandi Kossey, Chris Power, Leslee Thomson, Kathleen Morris, Shelagh Maloney, Lee Fairclough, Deborah Prowse, Hina Laeeque

Bibliographic record

VenueHealthcare Quarterly · 2020
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsCanada Health InfowayCanadian Standards AssociationCanadian Institute for Health InformationCanadian Patient Safety Institute
Fundersnot available
KeywordsSAFERPatient safetyAction planBest practiceScale (ratio)Plan (archaeology)Health careAction (physics)BusinessKey (lock)Public relationsNursingMedicineMedical educationPolitical scienceManagementComputer science

Abstract

fetched live from OpenAlex

From 2014 to 2018, the Canadian Patient Safety Institute brought together key partners and established the National Patient Safety Consortium to drive a shared action plan for safer healthcare. With ongoing consensus development on key priorities, an unprecedented level of collaboration and shared leadership with diverse stakeholders and patients and families as full partners, the Consortium and its Integrated Patient Safety Action Plan built a culture of engagement and improvement across Canada.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.052
GPT teacher head0.399
Teacher spread0.347 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes3
Has abstractyes

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