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Record W1988401419 · doi:10.3917/riges.393.0107

Le déploiement du Lean à l'hôpital Saint-Boniface : l'importance du leadership transformationnel

2014· article· fr· W1988401419 on OpenAlexaffvenueabout
Cyril Foropon, Sylvain Landry

Bibliographic record

VenueGestion · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le déploiement de la démarche Lean dans les établissements de santé est un phénomène grandissant à l’échelle mondiale. À ce jour, seule une très faible proportion d’hôpitaux lancés dans l’aventure sont parvenus à transformer significativement leurs systèmes de gestion en se fondant sur cette approche de gestion qui vise à améliorer les processus administratifs et cliniques. L’objectif de l’article est double : mettre en lumière le déploiement du Lean dans un hôpital canadien phare et rendre compte des apprentissages réalisés à l’attention des parties prenantes du secteur de la santé qui s’intéressent au déploiement du Lean. L’article relate l’expérience en cours depuis 2008 à l’Hôpital Saint-Boniface, au Manitoba, qui est devenu un fer de lance en matière de déploiement du Lean. Il décrit les composantes du déploiement du Lean et aborde les défis relevés. L’article se termine par plusieurs recommandations qui sont le fruit de l’expérience accumulée à l’Hôpital Saint-Boniface et d’enseignements émanant d’experts en Lean.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.028
GPT teacher head0.202
Teacher spread0.174 · 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 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

Citations11
Published2014
Admission routes3
Has abstractyes

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