Healthcare Digital Twins: Creating Virtual Models for Better Patient Care
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A healthcare digital twin refers to a constantly updated computerised model of a person, an organ, or even a whole hospital that is based on real-world data, such as CT scans, lab reports, vital signs, and readings from wearable devices, which can then be used to simulate potential outcomes before they happen. In a sense, the technology is simply borrowing an existing concept that has been around for many years in engineering: aeroplane companies and factories alike have relied on digital twin technology to test designs and predict potential failures long before making the physical product. Now, with hospitals generating a lot more continuous data than they ever have before, ranging from bedside monitoring devices to wearable technologies at home, there is a strong push towards using that information to create a dynamic model that can help predict future occurrences rather than leaving it as is. This article describes the digital twin technology, its current applications in India, and the obstacles on its way to becoming mainstream.
What Is a Healthcare Digital Twin?
The definition of a digital twin in the healthcare environment is a virtual replica of some physical object like a heart, a lung, an ICU ward or a whole network of hospitals that has been created based on CT scans, lab reports, vitals and wearables data and then constantly updated as the new data becomes available.
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