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Record W2748598522 · doi:10.12927/hcq.2017.25231

Strategic Change in Surgical Quality Improvement: The Ottawa Hospital Comprehensive Unit-Based Safety Program Experience

2017· article· en· W2748598522 on OpenAlexaffabout
Caitlin Champion, Joseph Sadek, Husein Moloo

Bibliographic record

VenueHealthcare Quarterly · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsQuality managementPatient safetyUnit (ring theory)Quality (philosophy)Best practiceMedicineOperations managementProcess managementNursingBusinessEngineeringHealth carePsychologyManagementPolitical scienceManagement system

Abstract

fetched live from OpenAlex

Strategic change principles are widely cited in business and healthcare management literature, but not in the surgical quality improvement literature despite the need for effective change management skills to successfully enable quality improvement projects. The Ottawa Hospital (TOH) Comprehensive Unit-Based Safety Program (CUSP) model within the Division of General Surgery applied strategic change management principles to support the development and implementation of surgical quality improvement initiatives. Using the TOH CUSP experience, we aim to provide insight and a practical example for surgeons seeking to drive quality improvement within their practice environment.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.228
GPT teacher head0.512
Teacher spread0.284 · 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 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

Citations5
Published2017
Admission routes2
Has abstractyes

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