Augmenting Atrial Fibrillation Care After an Emergency Department Visit
Bibliographic record
Abstract
BACKGROUND: Between 2010 and 2012, the Heart Rhythm team in a tertiary care hospital completed a retrospective study that found that atrial fibrillation (AF) care can be episodic and heavily reliant on hospital resources, particularly the emergency department (ED). PROBLEM: Patients who attend the ED with AF are at high risk of hospital admission. APPROACH: A nurse practitioner (NP) was added to the Heart Rhythm team to create a program to improve AF care after an ED visit. Telephone practice was one of the many processes created. OUTCOMES: Findings revealed that 37 of 90 patients presented to the ED with AF prior to telephone contact and 7 of 90 patients did so post-telephone contact (P < .001). CONCLUSION: Telephone practice led by an NP provides an opportunity to improve assessment and management of patient with AF and offers a promising cost-effective method to reduce ED visits in the AF patient population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".