Breaking down the silos: Transcatheter aortic valve implant versus open heart surgery
Bibliographic record
Abstract
Budget silos innate to hospital global funding schemes tend to inhibit the adoption of innovative clinical practices. In contrast, budget fluidity can encourage initiatives that align with the Quadruple Aim. This article calculated the budget impact of Surgical Aortic Valve Replacement (SAVR) and Transcatheter Valve Implant (TAVI) in high-risk aortic stenosis to demonstrate the value of a full-cost accounting approach. The budget impact of TAVI was $4,000 more than SAVR ($52,576 vs $48,578). However, the cost of managing SAVR adverse events was higher than TAVI ($17,718 vs. $11,754) over 1 year. A scenario analysis demonstrated that the total cost of care for a cohort of 100 patients at baseline ratio of 30% TAVI versus 70% SAVR was similar to a future scenario, with reverse proportions. While TAVI may seem expensive upfront, when considered as a surgical department budget item, the overall cost to the hospital is comparable to the SAVR.
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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 | 0.010 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".