Digital Twin’s Anatomy: A Cross-Sector Framework With Healthcare Validation

Digital twins (DT) in manufacturing, healthcare, and across different industrial domains are often over-simplified as solely a virtual representation of a physical object or service. Such a definition constitutes a dilemma in distinguishing DTs from digital models, digital shadows, digital threads, and cyber-physical systems. In this article, we aim to elucidate the concept of digital twins and its definition. Therefore, we go through the connotation of digital twins, which has its roots in space exploration and product-life cycle management, and describe the four evolution stages of DT developments. This article employs an ontological approach to clearly and comprehensively define digital twins and related key concepts, including digital models, assets, prototypes, shadows, and threads. Additionally, it presents a structured framework detailing the meta-model and the reference-level ontology of digital twins. To evaluate the proposed structure, definitions, and its important entities, we have examined our framework against 73 peer-reviewed papers in the healthcare sector from 2018 until July 2024. The evaluation and classification criteria of the selected works were based on four research questions. These criteria are driven by the core definitions provided by the main cross-domain digital twin researchers and this article’s proposed anatomy of digital twins.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3528736
Citations
5
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
6.21
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article

Digital Twin’s Anatomy: A Cross-Sector Framework With Healthcare Validation

Mohamed Hedi Karray, Thierry Louge, Sina Namaki Araghi, Arkopaul Sarkar et al.
5 citations
IEEE Access
Digital Transformation in Industry
6.21
article

Digital Twin’s Anatomy: A Cross-Sector Framework With Healthcare Validation

Mohamed Hedi Karray, Thierry Louge, Sina Namaki Araghi, Arkopaul Sarkar, Zhengyu Liu
article en
5 citations

Abstract

Digital twins (DT) in manufacturing, healthcare, and across different industrial domains are often over-simplified as solely a virtual representation of a physical object or service. Such a definition constitutes a dilemma in distinguishing DTs from digital models, digital shadows, digital threads, and cyber-physical systems. In this article, we aim to elucidate the concept of digital twins and its definition. Therefore, we go through the connotation of digital twins, which has its roots in space exploration and product-life cycle management, and describe the four evolution stages of DT developments. This article employs an ontological approach to clearly and comprehensively define digital twins and related key concepts, including digital models, assets, prototypes, shadows, and threads. Additionally, it presents a structured framework detailing the meta-model and the reference-level ontology of digital twins. To evaluate the proposed structure, definitions, and its important entities, we have examined our framework against 73 peer-reviewed papers in the healthcare sector from 2018 until July 2024. The evaluation and classification criteria of the selected works were based on four research questions. These criteria are driven by the core definitions provided by the main cross-domain digital twin researchers and this article’s proposed anatomy of digital twins.

IEEE AccessVol. 13
Institut National Polytechnique de Toulouse (FR), Laboratoire Génie de Production (FR)
Openalex Percentile: Top 5%
Digital Transformation in Industry
6.21
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