大数据医疗系统中的安全问题

Richa Verma, Ravinder Bhatt
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引用次数: 0

摘要

每个行业的公司管理、检查和利用数据的方式都发生了根本性的转变。医疗保健是使用大数据可能产生积极影响的最有前途的行业之一。随着信息和创新的不断增长,医疗保健技术正在快速改进。在医疗保健领域,有不同的大数据文章。数字医疗数据、生物识别数据、医学图像处理、生物传感器数据、医生数据、患者信息和管理数据都是这些类型的示例。在COVID-19大流行期间,正在部署许多综合技术来改进医疗保健系统。管理集成医疗保健解决方案需要医疗数据的安全性。在本文中,我们发现许多研究人员在加密敏感患者信息以防止滥用或泄漏方面面临重大障碍。我们的目标是关注医疗系统中的安全问题,并尝试给出解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security in Big Data Health Care System
There has been a fundamental shift in the way firms in every industry manage, examine, and utilize their data. Health care is one of the most promising industries in which the use of big data may make a positive impact. Healthcare technology is being improved at a fast rate as an outcome of growing information and innovative innovation. In healthcare, there are different articles of big data. Digital medical data, biometric data, medical image processing, biosensor data, physician data, patient information, and administrative data are examples of these types. Many combined technologies are being deployed to modify healthcare systems in the COVID-19 pandemic. The security of medical data is required for the management of an integrated healthcare solution. In this paper, we found that many researchers face significant hurdles in encrypting sensitive patient information to prevent misuse or leakage. Our aim is to provide a focus on security issues in healthcare system and try to give a solution.
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