What if a healthcare student could explore how a disease develops, test different treatment options or practise a complex decision using a detailed digital representation before encountering the same challenge with a real patient?

This is part of the promise behind Virtual Human Twins, an area receiving growing attention in European digital health policy.

The European Commission describes a Virtual Human Twin as a digital representation of a person's health or disease state. It can model different levels of the human body - from cells and tissues to organs and organ systems - using software and data to mimic and predict aspects of how its physical counterpart behaves.

In July 2026, the EU Health Policy Platform brought technology developers, regulators, healthcare purchasers and other stakeholders together to discuss practical pathways for the adoption of Virtual Human Twins and AI in European health systems. The discussion reflected a shift from asking what the technology might do towards considering how it could actually be integrated and used.

For education, the most interesting question may be not whether virtual patients can simulate reality perfectly, but how they can give students a safe space to explore decisions, consequences and uncertainty.

What could Virtual Human Twins be used for?

The European Commission identifies potential uses including targeted prevention, personalised clinical pathways, clinical trials, surgical planning and medical training. Because the models can represent aspects of health and disease, they may help professionals explore scenarios that would be difficult, risky or impossible to reproduce purely for teaching purposes.

For students, this could create a different type of simulation. Instead of only reading a case study describing a patient, learners could potentially interact with a model that responds to changing inputs or illustrates how different factors affect a health condition.

A new layer for simulation-based learning

Healthcare education already uses simulation because it allows students to practise without putting patients at risk. Virtual Human Twins could add another layer by allowing learners to investigate complex physiological processes or compare possible interventions in a digital environment.

This could be especially useful for interdisciplinary learning. A clinical student might focus on treatment decisions, a biomedical engineering student on the underlying model or device, and a healthcare management student on how the technology could be integrated into a service. Working together would reflect the reality that digital healthcare increasingly crosses professional boundaries.

Digital twins should not mean digital certainty

The potential is exciting, but education also needs to teach students where the limits are.

A digital model is still a model. Its value depends on the quality of the data, the assumptions built into it, the way it has been validated and whether it is appropriate for the patient or situation in question. Students need to learn to ask what a model can tell them - and what it cannot.

There are also wider questions around privacy, security, fairness and explainability. If a model is used to support a decision, professionals need to understand enough about its limitations to avoid treating its output as unquestionable.

This is another reason why emerging technologies should be introduced through practical and critical learning rather than simple demonstrations. Students should be encouraged to compare digital recommendations with other evidence, discuss uncertainty and explain how they would involve a patient in the decision.

Virtual patients will not replace real patients

No digital model can reproduce the full human experience of illness. Patients bring emotions, preferences, family circumstances, communication needs, culture and personal priorities that cannot be reduced to a set of physiological variables.

That is why Virtual Human Twins are best viewed as an additional educational tool, not a substitute for clinical placements, human interaction or patient-centred learning. Their value may lie in helping students prepare more deeply before entering real situations, or in allowing them to explore scenarios that would otherwise be difficult to practise.

What this means for Hybrid Healthcare

Hybrid Healthcare is built around the idea that future professionals need both technological competence and the ability to apply technology within real systems of care. Virtual Human Twins illustrate that perfectly.

The technology may be advanced, but the educational questions are familiar: How do we teach students to use new tools responsibly? How do we combine digital evidence with professional judgement? How do we maintain the human side of care? And how do educators keep curricula relevant when the technologies used in healthcare are changing so quickly?

Europe is investing heavily in the development and adoption of Virtual Human Twins. Healthcare education now has an opportunity to follow that development closely - not simply to teach the technology, but to prepare students to evaluate, manage and use it well.

Explore the Hybrid Healthcare project and its open learning resources at hybridhealthcareproject.eu

About Hybrid Healthcare

Hybrid Healthcare - Advancing Hybrid Management and Digital Technology in Healthcare Education - is an Erasmus+ Cooperation Partnership in Higher Education. The project is developing a Starter Kit, Open Educational Resources and practical Bootcamps to help healthcare educators and students build the digital health and hybrid management skills needed in a changing healthcare environment.