Digital twins for active two-way health data exchange

What is it about?

Digital twin technology is like having a virtual copy of a patient — one that can help doctors predict, personalize, and improve treatment. But there's a problem: most digital twins cannot share data or understand each other. They use different formats, different systems, and different ways of describing the same medical information. This review looks at why digital twins struggle to communicate and what can be done about it. The authors identify three main barriers: a lack of common technical standards, incompatible data formats, and the challenge of making sure data means the same thing across different systems (for example, a blood pressure reading from a wearable device should mean the same as one from a hospital monitor). The paper also highlights solutions, such as creating open data platforms, using standardized protocols, and improving how data is understood across systems. The goal is to help digital twins work together — enabling real-time monitoring, early intervention, and truly personalized care.

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Photo by Vitaly Gariev on Unsplash

Photo by Vitaly Gariev on Unsplash

Why is it important?

Without interoperability, medical digital twins cannot work together — and their potential to transform healthcare remains out of reach.

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