评估数据/模型/工具的考虑 支持药物开发和临床决策的过期
Jeffrey S Barrett1,2, Mark A Turner3,4
1Aridhia Digital Research Environment, Glasgow, UK. Jeff.barrett@aridhia.com.
Therapeutic innovation & regulatory science
|May 9, 2025
概括
随着时间的推移,数据对决策的相关性,特别是在药物开发中,可能会减少. 定期重新评估数据价值,考虑患者隐私和监管合规等因素,对于保持其实用性至关重要.
科学领域:
- 生物医学信息学 生物医学信息学
- 数据科学数据科学数据科学
- 药物开发 药物开发
背景情况:
- 决策在很大程度上依赖于数据,模型和工具.
- 数据在特定的使用环境 (COU) 中进行评估.
- 关于数据质量和相关性的隐含假设可能并不总是正确的.
研究的目的:
- 探索影响数据信息价值随时间推移的因素.
- 假设数据价值下降的情况,需要重新评估.
- 考虑数据的过期及其对决策的影响.
主要方法:
- 随着时间的推移对数据价值的概念分析.
- 检查药物开发作为一个案例研究.
- 确定影响数据相关性和信息价值的因素.
主要成果:
- 数据的相关性和信息价值不是静态的,可以随着时间的推移而降低.
- 药物开发呈现了数据价值下降的场景.
- 定期审查和条件重新评估对于数据实用性是必要的.
结论:
- 在决策过程中,应考虑数据的过期和时间依赖的状态变化.
- 患者隐私,同意和监管合规性是持续数据使用的关键因素.
- 了解数据信息价值动态对于药物开发和临床决策至关重要.
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