Navigating the landscape: Safeguarding privacy and security in the era of ambient intelligence within healthcare settings

Tarun Vats , Sudhakar Kumar , Sunil K. Singh , Uday Madan , Mehak Preet , Varsha Arya , Ritika Bansal , Ammar Almomani
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Abstract

Ambient intelligence technologies have the potential to transform healthcare by providing personalized, context-aware, and proactive support for patients and healthcare providers. However, the use of these technologies in healthcare settings raises important privacy and security concerns that must be addressed to ensure patient trust and acceptance. This paper explores the privacy and security considerations related to the utilization of ambient intelligence in healthcare, aiming to address the associated risks and establish a robust security infrastructure. By reviewing the inherent privacy and security risks in healthcare settings employing ambient intelligence, discussing the ethical and legal considerations, and proposing mitigation strategies, the focus is on ensuring patient trust and acceptance.The architecture that is being presented is a comprehensive one with interconnected layers that guarantees data confidentiality, integrity, and privacy in the ambient intelligence healthcare system. This protects sensitive data and maintains its continuous availability. This research helps to establish a safe environment that supports the transformational potential of ambient intelligence in healthcare while putting patient privacy and data protection first by thoroughly addressing privacy and security concerns.

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驾驭全局:在医疗环境中保护环境智能时代的隐私和安全
环境智能技术通过为患者和医疗服务提供者提供个性化、情境感知和主动支持,有可能改变医疗服务。然而,在医疗保健环境中使用这些技术会引发重要的隐私和安全问题,必须解决这些问题才能确保患者的信任和接受。本文探讨了与在医疗保健领域使用环境智能有关的隐私和安全问题,旨在解决相关风险并建立强大的安全基础设施。通过回顾采用环境智能的医疗保健环境中固有的隐私和安全风险,讨论伦理和法律方面的考虑因素,并提出缓解策略,重点是确保患者的信任和接受度。本文提出的架构是一个具有相互关联层的综合架构,可保证环境智能医疗保健系统中数据的保密性、完整性和隐私性。这可以保护敏感数据并保持其持续可用性。这项研究有助于建立一个安全的环境,支持环境智能在医疗保健领域的变革潜力,同时通过彻底解决隐私和安全问题,将患者隐私和数据保护放在首位。
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