医疗保健中人工智能诱导的网络安全风险:在临床风险管理框架内对基于区块链的解决方案进行叙述性审查
Gianmarco Di Palma1,2, Roberto Scendoni3, Davide Ferorelli4
1Operative Research Unit of Clinical Affairs, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Risk management and healthcare policy
|November 4, 2025
概括
医疗保健中的人工智能 (AI) 面临网络安全风险. 区块链技术为安全的数据管理和改进的临床风险管理提供解决方案,增强患者安全和问责制.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 网络安全 网络安全
- 区块链技术 区块链技术
背景情况:
- 人工智能 (AI) 在医疗保健中的整合提高了诊断和治疗,但引入了重大网络安全风险.
- 主要威胁包括数据泄露,不透明的算法和人工智能驱动的医疗设备的漏洞.
- 临床风险管理框架对于应对这些新出现的挑战至关重要.
研究的目的:
- 分析人工智能在医疗保健中的网络安全威胁.
- 评估区块链技术作为这些风险的缓解策略.
- 在临床风险管理框架内探索区块链集成.
主要方法:
- 在PubMed,Scopus和Web of Science (2000-2025) 进行了全面的文献搜索.
- 审查了1204篇文章,重点关注医疗保健网络安全,临床区块链应用和相关法规.
- 叙述审查文章评估标准的规模确保了方法论的严格性.
主要成果:
- 主题分析确定了关键问题:知情同意的挑战,未经授权的数据访问和数字基础设施的漏洞.
- 区块链的去中心化,不变性和透明性为安全的数据共享和同意管理提供了解决方案.
- 智能合约,许可网络和二层解决方案提高了安全性,可追溯性和可扩展性.
结论:
- 在医疗保健中采用区块链面临成本,监管障碍和专业接受等障碍.
- 有效的整合需要试点项目,跨学科合作和更新的法规.
- 在临床风险管理中将人工智能和区块链结合起来,可以从反应性转向主动性的方法,改善患者安全和数据治理.
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