计算模型可信度框架在生理闭环控制医疗器械检测中的应用

Christopher G Scully, Pras Pathmanathan, Chathuri Daluwatte, Farid Yaghouby, Richard A Gray, Sandy Weininger, Tina M Morrison, Bahram Parvinian
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引用次数: 2

摘要

生理闭环控制医疗设备是一种安全关键系统,它将患者监视器与治疗输送设备结合起来,自动滴定治疗以满足患者当前的需求。生理系统的计算模型可用于测试这些设备,并在将设备用于患者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所使用的计算模型等因素。我们研究了最近开发的用于建立医疗设备应用中计算模型可信度的风险知情框架如何应用于生理闭环控制设备的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

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