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医疗器械临床试验的风险和可信度框架
Jeffrey E Bischoff1, Mehul A Dharia1, Philippe Favre2
1Zimmer Biomet, 1800 West Center Street, Warsaw, IN, 46580, USA.
Computer methods and programs in biomedicine
|September 21, 2023
概括
一个新的基于风险的框架提高了医疗器械的in silico临床试验 (ISCTs) 的可信度. 这种方法确保了临床环境的准确表示,减少了监管批准的不确定性.
科学领域:
- 生物医学工程 生物医学工程
- 监管科学是一种监管科学.
- 计算建模计算建模
背景情况:
- 由于临床数据采集的挑战,在医疗器械数据生成方面正在出现in silico临床试验 (ISCT).
- 目前的监管研究缺乏指导来评估ISCT应用程序的可信度.
- 在技术的成熟推动了对ISCTs的兴趣,以达到监管目的.
研究的目的:
- 适应现有的基于风险的可信度框架,用于ISCT应用.
- 使用当代案例研究来证明适应框架的实用性.
- 为ISCT建立可信度要求,以推进其实际应用.
主要方法:
- 提出了一个框架来评估基于范围,覆盖范围和严重程度的ISCT模型风险.
- 评估临床验证可信度,考虑临床比较物,验证模型,协议和适用性.
- 扩展了传统建模和基准验证的现有指南.
主要成果:
- 该框架容纳了各种ISCT应用程序和临床数据集,以证明其可信度.
- 可信度因素包括临床变异性,比较器的统计能力,模型与比较器的一致性和设备相似性.
- 该框架应用于高风险病例研究,表明需要在计划的临床验证中提高严格性.
结论:
- 客观,基于风险的框架对于将ISCT从理论推向实践至关重要.
- 该框架确保验证准确地代表了预期的临床环境.
- 它旨在减少不确定性,并促进利益相关者合理采用ISCT.
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