Medical Digital Twin Technology for Interoperability: Challenges and Opportunities.

Area of Science:

• Health Informatics
• Digital Health Technologies

Background:

• Digital twin (DT) technology is rapidly advancing across various sectors.
• Previous research has explored DT applications in healthcare, but strategies for seamless integration, especially concerning heterogeneous medical data interoperability, remain underexplored.

Purpose of the Study:

• To review the concept of digital twins (DT) and their integration into healthcare.
• To analyze challenges and opportunities related to healthcare interoperability with DT adoption.
• To provide insights for professionals to advance patient-centered and personalized medicine.

Main Methods:

• Literature review of digital twin technology in healthcare.
• Analysis of interoperability issues, including data standards, formats, and technical complexity.
• Identification of potential solutions and opportunities for DT integration.

Main Results:

• Key challenges identified include the lack of standardized protocols, non-homogeneity of data formats, and technical complexity.
• Opportunities include the development of standardized protocols, open data platforms, and enhanced semantic interoperability.
• DT integration can significantly improve healthcare data management and analysis.

Conclusions:

• Digital twins present a significant opportunity to enhance healthcare interoperability and data management.
• Addressing standardization, data formats, and technical complexity is crucial for successful DT implementation.
• DT adoption can empower personalized medicine and drive the evolution of digital health.