Abstract P-335: INTEGRATION OF NURSE PRACTITIONER TEAM INTO CARDIAC CRITICAL CARE: A PROGRAM IN REVIEW
Bibliographic record
Abstract
Aims & Objectives: Children with congenital and acquired heart disease require complex care that involves a specialized multidisciplinary group of physicians, nurses and allied health care professionals. The delivery of high-quality care is dependent on effective team coordination and application of a mix of skills and expertise to support optimal patient outcomes. The objective is to describe the informal process and early impacts of integrating a Nurse Practitioner (NP) program into the existing medical model traditionally devoid of a strong NP presence. This is a busy academic program with variable clinician experience working with NPs. Methods We completed a review of the first 15 months of a new Cardiac Critical Care Unit NP program using stakeholder experience, quality metric, and interview data. Stakeholder satisfaction, NP activity, and team impacts will be described. Results Regular engagement of unit and hospital leadership were identified as essential in facilitating NP integration and fundamental to overcoming challenges. Training and education has been primarily guided by self-evaluation and feedback, and have in turn identified care areas that showcase NP expertise Conclusions NPs provide a unique perspective and important role in the care of critically ill cardiac patients and their families, adding a holistic approach to the traditionally medical model. Role clarity, specialty skill development, and knowledge enrichment of this non-physician role continues to evolve. Successful integration of the NP team is dependent upon leadership, organization and team support to facilitate the removal of barriers to advanced nursing practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".