临床试验中的人工智能和区块链:提高数据治理效率,完整性和透明度
Víctor Leiva1, Cecilia Castro2
1School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
Bioanalysis
|January 23, 2025
概括
区块链和人工智能 (AI) 集成可以显著改善临床试验数据治理,提高完整性,效率和透明度,同时解决隐私和安全问题.
科学领域:
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
背景情况:
- 临床试验在数据完整性,运营效率和透明度方面面临挑战.
- 患者数据隐私,监管合规性和安全性是临床研究中的关键问题.
研究的目的:
- 检查区块链技术和人工智能 (AI) 在临床试验中的整合.
- 评估区块链和人工智能的联合潜力,以提高临床试验中的数据治理.
主要方法:
- 对区块链和人工智能临床试验的最新进展进行了深入分析.
- 关于收养的挑战和障碍的文献综述.
- 确定整合的战略方向.
主要成果:
- 区块链和人工智能集成可以解决诸如患者数据隐私,监管合规性和安全性等关键挑战.
- 关键障碍包括可扩展性,与现有系统集成以及实施成本.
- 协同效应提供了流程自动化,提高了利益相关者的信任和强大的透明度.
结论:
- 区块链和AI的整合对临床试验具有变革性的潜力.
- 战略实施可以克服采用障碍,彻底改变临床试验过程.
- 这种协同作用是推动可靠和高效的临床研究的关键.
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