This article explains how digital twins—virtual replicas of patients, organs, hospital systems, or processes—are transforming healthcare. Powered by IoT, AI, and rich clinical data, they let providers simulate treatments, predict outcomes, and optimize hospital operations and equipment maintenance. The piece outlines key components (data ecosystem, integration layer, modeling, real-time connectivity, UI, security, and infrastructure) and types, from patient and surgical twins to system and molecular models. Benefits include personalized care, faster R&D, better resource use, and predictive maintenance, but success depends on strong data quality, interoperability, security, and governance.

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