Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges
HEC Montréal · Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
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Abstract
Background
Digital twins (DTs) are digital representations of real-world systems, enabling advanced simulations, predictive modeling, and real-time optimization in various fields, including health care. Despite growing interest, the integration of DTs in health care faces challenges such as fragmented applications, ethical concerns, and barriers to adoption.
Objective
This study systematically reviews the existing literature on DT applications in health care with three objectives: (1) to map primary applications, (2) to identify key challenges and limitations, and (3) to highlight gaps that can guide future research.
Citation impact
54
total citations
- FWCI
- 53.08
- Percentile
- 100%
- References
- 39
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Preprint
- Digital health
- Health care
- Computer science
- Data science
- Internet privacy
- Medicine
- World Wide Web
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