Medical Digital Twin Technology for Interoperability: Challenges and Opportunities

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Authors: Tengku Ahmad Iskandar Tengku Alang, Yeong Yeh Lee, T. X. Tan, Ariffin Marzuki Mokhtar
Cited by: 2
References: 52

Abstract

Digital twins (DT) technology has shown considerable growth in recent years. Previous studies have examined technologies in a variety of areas, including health care. However, limited studies have attempted to provide a thorough discussion of strategies for the seamless integration of DT into health care, particularly in the context of interoperability of heterogeneous medical data. This review examines the underlying concept of DT and its possible integration in healthcare, particularly in the context of healthcare interoperability. It also analyzes the main problems such as the lack of standardized protocols, the non-homogeneity of data formats and technical complexity. Finally, potential opportunities are highlighted such as standardized protocol, the creation of an open data platform and the empowerment of semantic interoperability. In conclusion, this review has provided valuable insights for many professionals, including researchers and healthcare providers, which will contribute to empowering patient-centered or personalized medicine and to the development of digital health.

Fields of Study & Subjects

Digital Transformation in Industry Artificial Intelligence in Healthcare and Education IoT and Edge/Fog Computing

Publication details

Journal / source
Biomedical Engineering and Computational Biology
Publisher
SAGE Publications
Volume
17
Pages
11795972261431928–11795972261431928
Publication date
1 March 2026
Language
EN