Analysis of digital twin applications in nursing practice and education: a scoping review
A Reum Lim, Hyun Kyoung Kim, Sun Huh · 2026
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Description
Lim, Kim, and Huh scoped the young literature on digital twins in nursing, virtual replicas of patients built from real-world data that can simulate, predict, and guide care. Following a five-stage scoping framework, two researchers searched six databases in April 2026 without year limits and ultimately included 15 studies on nursing applications.
The applications clustered into three domains: clinical care centered on patients, education and training, and decision-making and workflow management across nursing services. Clinical uses analyze multimodal patient data with artificial intelligence to build a virtual persona supporting real-time personalized care and patient self-management at the bedside. In education, twins create realistic, safe practice environments where nursing students can train without risking real patients during learning. The authors conclude digital twins hold substantial potential for predictive, personalized nursing, while noting the evidence base remains small and varied.
Catalog record
| CREATOR | A Reum Lim, Hyun Kyoung Kim, Sun Huh |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |