Internet of Things in healthcare: An adaptive ethical framework for IoT in digital health

Abubakar Wakili, Sara Bakkali
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Abstract

The emergence of the Internet of Things (IoT) has sparked a profound transformation in the field of digital health, leading to the rise of the Internet of Medical Things (IoMT). These IoT applications, while promising significant enhancements in patient care and health outcomes, simultaneously present a myriad of ethical dilemmas. This paper aims to address these ethical challenges by introducing the Adaptive Ethical Framework for IoT in Digital Health (AEFIDH), a comprehensive evaluation framework designed to examine the ethical implications of IoT technologies within digital health contexts. The AEFIDH is developed using a mixed-methods approach, encompassing expert consultations, surveys, and interviews. This approach was employed to validate and refine the AEFIDH, ensuring it encapsulates critical ethical dimensions, including data privacy, informed consent, user autonomy, algorithmic fairness, regulatory compliance, ethical design, and equitable access to healthcare services. The research reveals pressing issues related to data privacy, security, and user autonomy and highlights the imperative need for an increased focus on algorithmic transparency and the integration of ethical considerations in the design and development of IoT applications. Despite certain limitations, the AEFIDH provides a promising roadmap for guiding the responsible development, deployment, and utilization of IoT technologies in digital health, ensuring its relevance amidst the rapidly evolving digital health landscape. This paper contributes a novel, dynamic framework that encapsulates current ethical considerations and is designed to adapt to future technological evolutions, thereby fostering ethical resilience in the face of ongoing digital health innovation. The framework’s inherent adaptability allows it to evolve in tandem with technological advancements, positioning it as an invaluable tool for stakeholders navigating the ethical terrain of IoT in healthcare.

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医疗保健领域的物联网:数字医疗物联网的适应性伦理框架
物联网(IoT)的出现引发了数字医疗领域的深刻变革,导致了医疗物联网(IoMT)的兴起。这些物联网应用在有望显著改善患者护理和医疗效果的同时,也带来了无数伦理难题。本文旨在通过介绍数字医疗物联网自适应伦理框架(AEFIDH)来应对这些伦理挑战,AEFIDH 是一个综合评估框架,旨在研究数字医疗背景下物联网技术的伦理影响。AEFIDH 采用混合方法开发,包括专家咨询、调查和访谈。采用这种方法对 AEFIDH 进行了验证和完善,确保其囊括了关键的伦理维度,包括数据隐私、知情同意、用户自主权、算法公平性、监管合规性、伦理设计以及公平获取医疗保健服务。研究揭示了与数据隐私、安全和用户自主权相关的紧迫问题,并强调了在物联网应用的设计和开发过程中提高算法透明度和整合伦理考虑因素的迫切需要。尽管存在某些局限性,但 AEFIDH 为指导数字健康领域物联网技术的负责任开发、部署和利用提供了一个前景光明的路线图,确保了其在快速发展的数字健康领域中的相关性。本文提出了一个新颖、动态的框架,该框架囊括了当前的伦理考虑因素,旨在适应未来的技术演进,从而在持续的数字健康创新中培养伦理韧性。该框架固有的适应性使其能够与技术进步同步发展,从而成为利益相关者在医疗保健物联网伦理领域导航的宝贵工具。
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