作者: Farooq Gessa , Philip Asare , Aaron Bray , Rachel Clipp , S. Mark Poler
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摘要: Many of medical devices come equipped with a communication interface. Over the years, there has been interest in leveraging these interfaces to add computers loop aid decision making and automatic application interventions. Such systems, which we call Closed-Loop Assistants (CLAs), are intended help clinicians manage cognitive load that can arise as complexity patient management increases. We present an open-source framework for examining CLA-patient interactions through software simulations CLA in-silico patients enable early testing validation proposed physiology strategies. show how this be used test different strategies across small population. Considering population is important because inter-patient variability one critical factors hamper ability cyber-physical system like meet its goals. The explore design process therefore helps us increasing robustness system.