Easing the Economic Burden of Atrial Fibrillation: Making the Case for a Structured Clinical Nurse Specialist-Led Outpatient Clinic.
Bibliographic record
Abstract
As the life expectancy of Canadians continues to increase, so does the economic burden of chronic conditions within the health care system. One chronic condition that has increased over the past decade is atrialfibrillation (AF). With health care costs forAF estimated at more than $800 million and rising, a new approach is needed to manage AF care to reduce hospitalizations and emergency room visits, while improving patients' quality of life. Multidisciplinary outpatient clinics for heart failure patients have been implemented across Canada over the past decade, and have shown a reduction in hospital admissions and emergency room visits. It is probable that the same benefit could be seen with the implementation of a structured, nurse-led outpatient AF clinic. The purpose of this article is to review the existing literature on AF outpatient management, and establish the best approachfor a clinical nurse specialist-led AF outpatient clinic within the Canadian health care system.
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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 | 0.009 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".