Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud

Rodrigues, Vinicius Facco; Righi, Rodrigo da Rosa; Costa, Cristiano André da; Zeiser, Felipe André; Eskofier, Bjoern M.; Maier, Andreas; Kim, Dae-Young

doi:10.1007/s12553-023-00753-3

Cited by 10 publications

(2 citation statements)

References 35 publications

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“…First, we use a Real-Time Location System (RTLS) [40] within the hospital environment to identify the movement of patients in the hospitals. In the other approach, the model acquires data through the VitalSense [41] service for smart cities, which is responsible for informing us of the people in the city and their location who have altered vital signs and, consequently, who may need medical care. VitalSense is a scalable fog-based solution for real-time monitoring and processing of patient data using wearable devices [41].…”

Section: Design Decisionsmentioning

confidence: 99%

“…In the other approach, the model acquires data through the VitalSense [41] service for smart cities, which is responsible for informing us of the people in the city and their location who have altered vital signs and, consequently, who may need medical care. VitalSense is a scalable fog-based solution for real-time monitoring and processing of patient data using wearable devices [41]. Maintaining privacy and security is crucial when managing patient information [42].…”

Section: Design Decisionsmentioning

confidence: 99%

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Multi-Hospital Management: Combining Vital Signs IoT Data and the Elasticity Technique to Support Healthcare 4.0

Fischer,

Ramos,

Costa

et al. 2024

IoT

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Smart cities can improve the quality of life of citizens by optimizing the utilization of resources. In an IoT-connected environment, people’s health can be constantly monitored, which can help identify medical problems before they become serious. However, overcrowded hospitals can lead to long waiting times for patients to receive treatment. The literature presents alternatives to address this problem by adjusting care capacity to demand. However, there is still a need for a solution that can adjust human resources in multiple healthcare settings, which is the reality of cities. This work introduces HealCity, a smart-city-focused model that can monitor patients’ use of healthcare settings and adapt the allocation of health professionals to meet their needs. HealCity uses vital signs (IoT) data in prediction techniques to anticipate when the demand for a given environment will exceed its capacity and suggests actions to allocate health professionals accordingly. Additionally, we introduce the concept of multilevel proactive human resources elasticity in smart cities, thus managing human resources at different levels of a smart city. An algorithm is also devised to automatically manage and identify the appropriate hospital for a possible future patient. Furthermore, some IoT deployment considerations are presented based on a hardware implementation for the proposed model. HealCity was evaluated with four hospital settings and obtained promising results: Compared to hospitals with rigid professional allocations, it reduced waiting time for care by up to 87.62%.

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Section: Design Decisionsmentioning

confidence: 99%

Section: Design Decisionsmentioning

confidence: 99%

Multi-Hospital Management: Combining Vital Signs IoT Data and the Elasticity Technique to Support Healthcare 4.0

Fischer,

Ramos,

Costa

et al. 2024

IoT

Self Cite

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MXenes: Multifunctional Materials for the Smart Cities of Tomorrow

Purbayanto,

Presser,

Skarżyński

et al. 2024

Adv Funct Materials

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Currently, over 60% of the world's population lives in cities. Urban living has many advantages but there are also challenges regarding the need for smart urbanization. The next generation of tunable 2D nanomaterials, called MXenes, is the critical enabling technology that can bring the current urban thinking to the next level, called a smart city. The smart city is a novel concept based on a framework of self‐sufficient technologies that are interactive and responsive to citizens’ needs. In this perspective, MXene‐enabled technologies for sustainable urban development are discussed. They can advance self‐sufficient, adaptive, and responsive buildings that can minimize resource consumption, solving the deficiency of essential resources such as clean energy, water, and air. MXenes are at the cutting edge of technological limitations associated with the Internet of Things (IoT) and telemedicine, combining diverse properties and offering multitasking. It is foreseen that MXenes can have a bright future in contributing to the smart city concept. Therefore, the roadmap is presented for demonstrating the practical feasibility of MXenes in the smart city. Altogether, this study promotes the role of MXenes in advancing the well‐being of citizens by raising the quality of urban living to the next level.

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