AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities
Emma Glajchen, Mills Reed, Takeshi Uemura, Johanna Contreras, Zoe Ozols, Annapoorna S Kini, Jeffrey Bander · 2026
Read AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities by Emma Glajchen, Mills Reed, Takeshi Uemura, Johanna Contreras, Zoe Ozols, Annapoorna S Kini, Jeffrey Bander (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13420647.txt.
Description
Emma Glajchen and colleagues present ForeSight-HF in 2026, an AI decision aid built for heart failure care in skilled nursing facilities. Nursing homes juggle complex patients with thin specialist access and patchy records, while existing AI tools were designed for hospitals.
The language-model system reads unstructured notes to score heart-failure likelihood and flare risk and suggest tailored steps, illustrated by one congested patient needing stronger diuretics and one dry patient needing diuretic cuts. Nursing teams gain a post-acute aid aimed at cutting the readmissions that follow one in four heart-failure hospital stays.
Catalog record
| CREATOR | Emma Glajchen, Mills Reed, Takeshi Uemura, Johanna Contreras, Zoe Ozols, Annapoorna S Kini, Jeffrey Bander |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 18 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |