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Based on the 25-patient clinical record provided, we built digital twins of the patients visiting an imaginary hospital. This prototype digital twin of an operating hospital can be used to model a real hospital patient flow, identify the areas of improvements needed, and test the efficacy of its implementation. Furthermore, by adding further patient data features, we can identify underlying patient-originated causes of hospital inefficiency to address and achieve operational improvements to serve them better.

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