科学中的综合:策划的协作合作
David B Hurry1, Elena S Izmailova1, Simon Davies2
1Koneksa Health, New York, New York, USA.
Clinical and translational science
|November 29, 2024
概括
数据综合提供了一个开发数字化措施的新模式. 这种精心策划的合作使生物制药赞助商能够更快地启动研究和实时数据流.
科学领域:
- 数字健康数字健康
- 临床试验方法论 临床试验方法论
- 数据科学是数据科学.
背景情况:
- 数字化措施需要专门的临床研究来开发和验证.
- 目前的模式包括单一赞助商研究或竞争前合作.
研究的目的:
- 为数字测量开发和验证提出一个替代模型.
- 突出数据综合在临床研究中的优势.
主要方法:
- 引入数据综合作为一个策划的协作模式.
- 将技术提供商作为创始成员与生物制药赞助商和利益相关者一起参与.
主要成果:
- 与传统模型相比,数据综合可以实现更快的研究启动.
- 这种模型可以从数字测量器进行实时数据流.
结论:
- 数据综合提供了一个可行的和高效的替代数字测量验证.
- 该模型增强了临床研究中的协作和数据可访问性.
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