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Innovative Solutions: Leading the Way

2006· article· en· W2048810666 on OpenAlex
Mary Lu Daly, J. Patrick Powers, Vicky Orto, Marlene Rogers, Tina Dickinson, Michele Fabris, Michelle Honan

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.

Bibliographic record

VenueDimensions of Critical Care Nursing · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsCanadian Nurses Association
Fundersnot available
KeywordsIntervention (counseling)NursingInstitutionRapid response teamPatient safetyRoundingFocus (optics)MedicinePsychologyMedical emergencyHealth careComputer sciencePolitical science

Abstract

fetched live from OpenAlex

In Brief In an effort to improve patient outcomes, there has been a global initiative to prevent avoidable adverse events. The rapid response team or medical emergency team concept has been in existence for the past several years and there has been a significant improvement in patient outcomes. This article will describe one institution's success in taking this concept even further by rounding on general care units before patient problems are evident. The focus of this discussion will be on the remarkably positive nursing staff outcomes that have been achieved as a result of a program called the Early Nursing Intervention Team, a totally nurse-led program. One institution's success in the development of an early nursing intervention team is presented in this article as well as a review of the positive outcomes which have been accomplished by this team.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.340
Teacher spread0.310 · 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