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An Infusion Program Resource Nurse Consult Service: Our Experience in a Major Canadian Teaching Hospital

2002· article· en· W2069884158 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Infusion Nursing · 2002
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsVancouver Hospital and Health Sciences Centre
Fundersnot available
KeywordsMedicineMultidisciplinary approachMultidisciplinary teamInfusion therapyNursingCatheterTeaching hospitalEmergency medicineGeneral surgerySurgery

Abstract

fetched live from OpenAlex

Infusion resource teams are comprised of nurses specially trained and experienced in infusion therapy. Our multidisciplinary team provides clinical, educational, and research support to a 1000-bed Canadian tertiary hospital. To characterize the infusion resource nurse service, 789 recorded consults for 250 patients during a 12-month period study were reviewed. Noncritical medicine and surgical wards accounted for a similar number of consults, with the highest volume (31% of total consults) being generated by the general and vascular surgery wards. Vein status was visible and either "fair" or "good" in approximately half of all consults, but 39% of consults were visible and "poor." Most consults (81% of total) resulted in the initiation of peripheral intravenous catheters into an area of nonflexion in an upper extremity and successful peripheral catheter initiations were accomplished in 96% of all cases. Our multidisciplinary infusion program approach to vascular access support appears to be a well-utilized and an effective resource for this hospital.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.381
Teacher spread0.348 · 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