Smart e-Health Security and Safety Monitoring with Machine Learning Services

W. Liu, E. K. Park, U. Krieger, S. S. Zhu
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引用次数: 1

Abstract

This research provides security and safety extensions to a blockchain based solution whose target is e-health. The Advanced Blockchain platform is extended with intelligent monitoring for security and machine learning for detecting patient treatment medication safety issues. For the reasons of stringent HIPAA, HITECH, EU-GDPR and other regional regulations dictating security, safety and privacy requirements, the e-Health blockchains have to cover mandatory disclosure of violations or enforcements of policies during transaction flows involving healthcare. Our service solution further provides the benefits of resolving the abnormal flows of a medical treatment process, providing accountability of the service providers, enabling a trust health information environment for institutions to handle medication safely, giving patients a better safety guarantee, and enabling the authorities to supervise the security and safety of e-Health blockchains. The capabilities can be generalized to support a uniform smart solution across industry in a variety of blockchain applications.
智能电子健康安全和安全监测与机器学习服务
这项研究为基于区块链的解决方案提供了安全性和安全性扩展,其目标是电子健康。先进的区块链平台扩展了智能监控安全性和机器学习,用于检测患者治疗药物安全问题。由于严格的HIPAA、HITECH、EU-GDPR和其他区域法规规定了安全、安全和隐私要求,电子医疗区块链必须涵盖涉及医疗保健的交易流程中违规或政策执行的强制披露。我们的服务解决方案进一步提供解决医疗过程异常流程的好处,为服务提供商提供问责制,为机构提供可信的健康信息环境,以安全地处理药物,为患者提供更好的安全保障,并使当局能够监督电子健康区块链的安全性和安全性。这些功能可以推广到支持各种区块链应用程序中跨行业的统一智能解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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