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Applying a Computational Model Credibility Framework to Physiological Closed-Loop Controlled Medical Device Testing

机译:将计算模型可信度框架应用于生理闭环控制的医疗设备测试

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Physiological closed-loop controlled medical devices are safety-critical systems that combine patient monitors with therapy delivery devices to automatically titrate therapy to meet a patient's current need. Computational models of physiological systems can be used to test these devices and generate pre-clinical evidence of safety and performance before using the devices on patients. The credibility, utility, and acceptability of such model-based test results will depend on, among other factors, the computational model used. We examine how a recently developed risk-informed framework for establishing the credibility of computational models in medical device applications can be applied in the evaluation of physiological closed-loop controlled devices.
机译:生理性闭环受控医疗设备是对安全至关重要的系统,将患者监护仪与治疗输送设备结合在一起,可以自动调整治疗剂量,以满足患者当前的需求。可以将生理系统的计算模型用于测试这些设备,并在对患者使用这些设备之前生成安全性和性能的临床前证据。这种基于模型的测试结果的可信度,实用性和可接受性将取决于使用的计算模型以及其他因素。我们研究了如何在医疗设备应用中建立计算模型的可信度的最新风险告知框架可用于评估生理性闭环受控设备。

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