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What would it take to simulate a patient well enough to change how we train, test, research and deliver care?

​This edition of Evening Rounds explores digital twin technology in healthcare: how it is being used today, where it could meaningfully improve patient outcomes, and what would have to be true for virtual representations of patients to become useful in real-world care.
​What if we could test a treatment on a virtual version of you before treating you?
​Across healthcare, researchers are building increasingly sophisticated digital representations of patients — models that can potentially simulate physiology, disease progression, treatment response, and other aspects of health and care.

​They’re often called digital twins.

​But the ambition behind the idea is much bigger than simply creating a digital model of a person. Could we use these models to compare treatments before choosing one? Anticipate how disease might progress? Test medical devices and care pathways? Train clinicians against realistic patient scenarios? Or explore interventions before exposing real patients to them?

​And if so, how accurate does a virtual patient need to be before we should trust what it tells us?

​How much of a human being can we actually simulate — and how good would that simulation need to be before anyone should make decisions with it?