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Record W800890213

Reducing central line associated blood stream infection in medical intensive care: leadership and standardization

2012· article· en· W800890213 on OpenAlexaboutno aff
Dawn Cooper

Bibliographic record

Venue6th Annual Nursing Quality Conference (Jan. 25 - 27, 2012) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEmergency medicineCentral lineIntensive care unitQuarter (Canadian coin)Intensive careStandardizationBenchmark (surveying)Incidence (geometry)Blood streamIntensive care medicineInternal medicineComputer scienceMathematics
DOInot available

Abstract

fetched live from OpenAlex

Evaluation: The MICU achieved and is sustaining a significant reduction in incidence of CLABSI. The unit went 152 days with no infection in early 2011 and performed better than the benchmark NHSN pooled mean (per 1,000 catheter days) six out of the last nine quarters. MICU performed better than the NDNQI benchmark mean for Academic Medical Centers four out of the past eight quarters and anticipates outperforming the benchmark for the fourth quarter 2011. MICU had zero CLABSI three out of the past nine quarters The unit has currently as of January 12, 2012 has gone 173 days with no CLABSI. MICU publicly reports infection rates and was one of only two ICUs in the state of Connecticut that had individual CLABSI Standardized Infection Ratios better/lower than expected.”

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.046
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.048
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.107
GPT teacher head0.416
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2012
Admission routes1
Has abstractyes

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