Developing a novel ontology for cybersecurity in internet of medical things-enabled remote patient monitoring

IoT has seen remarkable growth, particularly in healthcare, leading to the rise of IoMT. IoMT integrates medical devices for real-time data analysis and transmission but faces challenges in data security and interoperability. This research identifies a significant gap in the existing literature regarding a comprehensive ontology for vulnerabilities in medical IoT devices. This paper proposes a fundamental domain ontology named MIoT (Medical Internet of Things) ontology, focusing on cybersecurity in IoMT (Internet of Medical Things), particularly in remote patient monitoring settings. This research will refer to similar-looking acronyms, IoMT and MIoT ontology. It is important to distinguish between the two. IoMT is a collection of various medical devices and their applications within the research domain. On the other hand, MIoT ontology refers to the proposed ontology that defines various concepts, roles, and individuals. MIoT ontology utilizes the knowledge engineering methodology outlined in Ontology Development 101, along with the structured life cycle, and estab- lishes semantic interoperability among medical devices to secure IoMT assets from vulnerabilities and cyberattacks. By defining key concepts and relationships, it becomes easier to understand and analyze the complex network of information within the IoMT. The MIoT ontology captures essential key terms and security-related entities for future extensions. A conceptual model is derived from the MIoT ontology and validated through a case study. Furthermore, this paper outlines a roadmap for future research, highlighting potential impacts on security automation in healthcare applications

Aplicação do Paradigma “Internet das Coisas” para o Setor de Serviços e Cuidados com a Saúde: caminhos e desafios de desenvolvimento do setor a partir de análise patentária

The Internet of Things (IoT) is a technological paradigm that allows the joint articulation of various devices remotely through the sharing of data. This capacity opens up a variety of possibilities for the use of this technology, including in services. IoT in healthcare allows for the collection, diagnosis, and monitoring of patients inside and outside of the hospital. In a 2020 report, the National Bank of Economic and Social Development (BNDES, 2017) highlighted the healthcare sector as a priority for the development of IoT in Brazil. The pandemic has further highlighted its importance. Therefore, this article discusses the opportunities and challenges of applying this technological paradigm in healthcare from the perspective of the relevant patents already filed in Brazil for its application. To this end, a literature review and mapping of patents already filed in Brazil with the most relevant technologies for the use of IoT were conducted, including a literature review with patent mapping. Although the country has a favorable environment for the development of IoT-based services, it is necessary to address regulatory, ethical, standardization of electronic protocols, and data protection challenges, as well as integrated actions in public and private policies.A Internet das Coisas (Internet of Things, em inglês, ou IoT, sua sigla no mesmo idioma) é um paradigma tecnológico que possibilita a articulação conjunta de diversos aparelhos de forma remota a partir do compartilhamento de dados. Essa capacidade abre diversas possibilidades no emprego dessa tecnologia, inclusive em serviços. Em relatório, o Banco Nacional de Desenvolvimento Econômico e Social (BNDES, 2017) destacou a área de saúde como prioritária para o desenvolvimento da IoT no Brasil, e a pandemia evidenciou ainda mais sua importância. Dessa forma, o presente artigo discute oportunidades e desafios da aplicação desse paradigma tecnológico na saúde a partir do paradigma das patentes relevantes à sua aplicação já depositadas no Brasil. Para tanto, foi realizada revisão de literatura e mapeamento de patentes já depositadas no Brasil com as tecnologias mais significativas para o emprego da IoT, incluindo revisão de literatura com mapeamento de patentes. Embora o país tenha ambiente favorável para o desenvolvimento de serviços baseados em IoT, é necessário enfrentar desafios regulatórios, éticos, de uniformização de protocolos eletrônicos e proteção de dados, além de ações integradas em políticas públicas e privadas

Health Care Equity Through Intelligent Edge Computing and Augmented Reality/Virtual Reality: A Systematic Review

Intellectual capital is a scarce resource in the healthcare industry. Making the most of this resource is the first step toward achieving a completely intelligent healthcare system. However, most existing centralized and deep learning-based systems are unable to adapt to the growing volume of global health records and face application issues. To balance the scarcity of healthcare resources, the emerging trend of IoMT (Internet of Medical Things) and edge computing will be very practical and cost-effective. A full examination of the transformational role of intelligent edge computing in the IoMT era to attain health care equity is offered in this research. Intelligent edge computing-aided distribution and collaborative information management is a possible approach for a long-term digital healthcare system. Furthermore, IEC (Intelligent Edge Computing) encourages digital health data to be processed only at the edge, minimizing the amount of information exchanged with central servers/the internet. This significantly increases the privacy of digital health data. Another critical component of a sustainable healthcare system is affordability in digital healthcare. Affordability in digital healthcare is another key component of a sustainable healthcare system. Despite its importance, it has received little attention due to its complexity. In isolated and rural areas where expensive equipment is unavailable, IEC with AR / VR, also known as edge device shadow, can play a significant role in the inexpensive data collection process. Healthcare equity becomes a reality by combining intelligent edge device shadows and edge computing