The SUPREME Index for 30-day all-cause readmission: development and internal validation of a machine learning-based risk stratification index in community-dwelling adults
Yeong Jun Ju, Soon Young Lee · 2026
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Description
Yeong Jun Ju and colleagues build a simple risk score for hospital readmission within 30 days in a 2026 study. Readmissions signal care quality and carry heavy costs, yet spotting high-risk patients in the general community has been hard. The team used health insurance records for adults in Suwon City, South Korea, from 2016 to 2019, selecting predictors with machine learning and turning them into a point-based score.
Among 3,357 adults, about one in nine was readmitted within 30 days of a hospital stay. The score was tested on a held-back sample for accuracy and calibration, aiming for a tool clinicians can actually use. If it holds up elsewhere, the index could help hospitals target follow-up calls, home checks, and early clinic visits to the patients most likely to return.
Catalog record
| CREATOR | Yeong Jun Ju, Soon Young Lee |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |