Medscape October 30, 2024
A “digital twin” model successfully predicted adverse outcomes in intensive care unit (ICU) patients treated for sepsis. The approach used an adaptive approach, updating time-sensitive values such as blood pressure and vitals every 15 minutes. The approach also took into account treatment decisions and has potential as a decision-making and educational tool.
The digital twin could reduce the risk for some interventions, according to Amos Lal, MD, who presented the study at the annual meeting of the American College of Chest Physicians (CHEST). That’s because the model can predict the outcome. “You don’t actually have to make an intervention to the patient, which might be risky. By doing that, you can actually prevent a lot of harm,” said Lal, who...
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