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Record W3170390352

Management of Infusion Pumps in the Lower Mainland of British Columbia

2021· article· en· W3170390352 on OpenAlexaboutno aff
Alice Casagrande Cesconetto, Emily Rose

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIntravenous Infusion Technology and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsMainlandMainland ChinaEconomic shortageMedicineInfusion pumpMedical emergencyOperations managementEngineeringGovernment (linguistics)AnesthesiaGeographyChina
DOInot available

Abstract

fetched live from OpenAlex

Infusion pumps are used by clinical staff to deliver medications and fluids intravenously to patients. Each of the 27 hospitals in the Lower Mainland of British Columbia has a fleet of Alaris™ infusion pumps, and these pumps are often shared among the units of each hospital. There are several challenges associated with the management and support of a mobile pump fleet, namely: perceived pump shortages, misplaced pumps across hospitals (i.e. mixing of pump fleets following patient transfers), and difficulties associated with identifying, locating, and tracking specific pump modules due for preventative maintenance. This project sought to discover, document, and critically assess hospital-level processes for pump redistribution across units, return of pumps following patient transfers between hospitals, and local management of preventative maintenance logistics by Biomedical Engineering Technologists. Recommendations are provided to improve each of these processes.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.004
GPT teacher head0.177
Teacher spread0.173 · 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
Published2021
Admission routes1
Has abstractyes

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