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Record W2076073590 · doi:10.1097/mat.0b013e318185d25f

Development of an Interprofessional Pediatric Ventricular Assist Device Support Team

2008· article· en· W2076073590 on OpenAlex
Sarah Furness, Cecilia Hyslop-St. George, Barbara Pound, Misty Earle, Andrea Maurich, Danika Rice, Tilman Humpl

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

VenueASAIO Journal · 2008
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineService (business)NursingMedical emergencyHealth careVentricular assist deviceBest practiceCore competencyMedical educationPsychologyBusinessCardiology

Abstract

fetched live from OpenAlex

Caring for pediatric patients with a ventricular assist device (VAD) requires a collaborative approach from an interprofessional team to ensure maximum patient safety and optimal outcomes. Initiating a VAD program is challenging, due to the complex medical and technical nature of this device and associated learning needs. At our institution, the development of the interprofessional VAD support team was established in four phases. Initial Education, Core Team Formation, Expansion, and Evaluation. A "core VAD team" was created after the initial education at an established VAD center. In a third step, all efforts were directed toward increasing the number of health care professionals caring for the VAD patients in the Cardiac Critical Care setting and on the Cardiac ward. The last phase consists of ongoing evaluation. Several key areas imperative to the care of a patient on a VAD were identified and further elaborated. The complex care of a patient on a VAD needs a specialized team approach to cover all patient care needs. Ongoing interprofessional education continues to improve competency of care. Continuity of care was assured on all levels of service to ensure the best possible outcomes.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.250
Teacher spread0.230 · 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