A Maturity Model for Digital Twins in Healthcare
Digital models, digital shadows, and digital twins (DTs) are increasingly used in manufacturing/Industry 4.0 to represent levels of integration between physical systems and their digital counterparts; data-flow mechanisms are the enablers of such integration. Healthcare operations management has also witnessed rising interest in hybrid models that use real-time data to increase situational awareness (SA) and enable short-term decision-making. In M&S literature, such models are referred to as Real-time Simulations (RtS) and DTs. Healthcare organizations can realize a heightened state of SA by transitioning from conventional modeling to RtS/DTs. The paper presents a Maturity Model for DTs to contextualize the increasing levels of healthcare Information Systems/Information Technology (IS/IT) integration with real-time models that such a shift will necessitate. The higher the Maturity Level of IS/IT integration, the greater the opportunity to develop modeling artifacts that realize the potential of real-time data and enable organizations to attain higher levels of SA.
Authors
- Alison L. Harper (ORCID: https://orcid.org/0000-0001-5274-5037)
- Joe Viana (ORCID: https://orcid.org/0000-0001-6018-8242)
- Navonil Mustafee (ORCID: https://orcid.org/0000-0002-2204-8924)
- Thomas Monks (ORCID: https://orcid.org/0000-0003-2631-4481)
Institutions
- Norwegian University of Science and Technology (NO)
- University of Exeter (GB)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/wsc63780.2024.10838785
- Citations
- 3
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 1.05