Generative AI in healthcare: redefining clinical practice through digital transformation
Jackie Zhanbiao Li, Xin Li, Qifeng Wu, Qianhui Ting, Yingqian Lao · 2026
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Description
Jackie Zhanbiao Li and co-authors measured what generative AI did for hospitals, using data from 160 hospitals across thirty-one Chinese provinces between 2021 and 2024. Their 2026 study drew on 1,440 hospital records to test whether the technology improved care, and what conditions shaped the effect.
Generative AI use was linked with sharper diagnosis, smoother daily work, and happier patients. The gains were not evenly spread: hospitals in regions with deeper industrial digitalization captured clearly more benefit, a sign that the technology lifts a digital base already there rather than replacing it. The authors frame the results for policy makers weighing where AI investment will pay off, arguing that pairing rollout with broader digital updates matters. They also cast the study as a window on how new tools spread through a health system.
Catalog record
| CREATOR | Jackie Zhanbiao Li, Xin Li, Qifeng Wu, Qianhui Ting, Yingqian Lao |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49395 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |