A review of challenges and barriers implementing RFID technology in the Healthcare sector

Abugabah, Ahed; Nizamuddin, Nishara; Abuqabbeh, Alaa

doi:10.1016/j.procs.2020.03.094

Cited by 64 publications

(18 citation statements)

References 42 publications

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“…eHealth is defined as the use of ICT in support of health and health-related fields, while mobile health (mHealth), which is a subset of eHealth, entails the use of mobile wireless technologies for health. On the contrary, healthcare 4.0 germinated as a broad umbrella term encompassing eHealth (which includes mHealth), as well as emerging areas, such as the use of industry 4.0 technologies including IoT, big data, 5G, AI, computing (cloud, fog, and edge), and blockchain [408][409][410][411][412][413][414]. Holistically, the World Health Organization (WHO) [408] reiterated the term healthcare 4.0 as a discrete functionality of digital technology that is applied to achieve health objectives and is implemented within digital health applications and ICT systems, including communication channels such as text messages.…”

Section: Convergence Of Disruptive Technologies In Food Andmentioning

confidence: 99%

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Bongomin

Yemane

Kembabazi

et al. 2020

Journal of Engineering

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Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.

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Section: Convergence Of Disruptive Technologies In Food Andmentioning

confidence: 99%

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Bongomin

Yemane

Kembabazi

et al. 2020

Journal of Engineering

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“…The various prospects and barriers of using the RFID Technology is discussed. Usage of RFID Technology in Medical equipment tracking, medical personnel tracking, tracking of drug consignments within the hospital is discussed [8]. An overview of prospects of IoT in Medical environment and the challenges in its global acceptance is discussed [9].…”

Section: Related Workmentioning

confidence: 99%

An Enhanced IoT Based Tracing and Tracking Model for COVID -19 Cases

Rajasekar

2021

SN COMPUT. SCI.

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The COVID-19 pandemic has alarmed the world nations to impose strict curfews and emergencies to prevent the social transmission of the disease. In order to achieve this, effective Tracing and Tracking of the suspected COVID-19 cases need to be achieved. In view of the enormous number of cases being recorded each day, this process couldn't be performed effectively with simple manual tracing. Hence, we have proposed an Internet of Things (IoT) based automated Tracing and Tracking method for identification of the possible contacts with deployment of cost-effective RFID Tags and the mobile of the individuals which act as a reader. Thereby, tracing of persons who have crossed the subject would be possible even without the knowledge of the suspected cases. This would enable cent percent quarantine of possible primary and secondary contacts and monitoring of the same by the administrative agencies. This would augment the nations' capability of managing the pandemic.

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“…Una de los elementos esenciales en los grandes entornos de desarrollo de la industria 4.0 se enfoca en las aplicaciones e innovaciones centralizadas en la administración y gestión de la información en bases de datos, conocido como Big Data. De acuerdo con (Zhang, 2018), el Big Data puede ser concebido como una presente investigación se enfoca en un análisis descriptivo de las principales tendencias y comportamientos de los datos informativos (Big Data), su análisis e interpretación (data minning) y sistemas de mejoramiento continuo y aprendizaje (Machine Learning) en las diversas aplicaciones para los sectores de salud, financiero y logística y transporte (Din et al, 2019) (Huber et al, 2019) En relación con (Abugabah et al, 2020), uno de los desafíos en relación a la implementación y estructuración del Big Data en los sectores industriales de estudio se enfoca en la naturaleza no estructurada de las informaciones obtenidas de los procesos e interacción hombre-máquina: Fuentes de información de entrada, como por ejemplo sensores en dispositivos, sistemas de entradas por Radiofrecuencia (RFID), mecanismo de búsqueda en internet, procesamiento y generación de datos bancarios, médicos, gubernamentales, académicos, entre otros, se presentan como datos relevantes con diversos tipos de características (numérico, textual, gráfico, video, etc. ), sin un control de salida definido y como información no estructurada.…”

Section: Implicaciones Electrónicasinteligencia Clínicaunclassified

Big Data y las implicaciones en la cuarta revolución industrial - Retos, oportunidades y tendencias futuras

González

Vásquez

Uribe

et al. 2021

RVG

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La cuarta revolución industrial se presenta, en la actualidad, como un proceso de transformación y evolución productiva. El comportamiento globalizado de los mercados, las nuevas tendencias tecnológicas y el auge de innovadoras metodologías, han transformado la industria en un espacio de interacción interdisciplinar para la toma de decisiones organizacionales. Uno de estos espacios es la generación, obtención y análisis de los datos obtenidos de acuerdo con la relación hombre-máquina, también conocido en la actualidad como el Big Data. El presente artículo de investigación descriptiva tiene por objetivo exponer escenarios de aplicación, control y análisis de técnicas, tecnologías y metodologías asociados al Big Data en tres sectores principales: salud, financiero y transporte y logística. Los resultados obtenidos permiten evidenciar el impacto y relevancia con relación al mundo Big Data y sus aplicaciones en los sectores industriales de estudio como eje de reflexión y repercusiones profesionales. Se concluye que la integración de hardware y software en el campo del Big Data se hace indispensable en pro de la mejora de la calidad de servicio de teleasistencia en los pacientes, así como en los servicios logísticos y financieros

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A review of challenges and barriers implementing RFID technology in the Healthcare sector

Cited by 64 publications

References 42 publications

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

An Enhanced IoT Based Tracing and Tracking Model for COVID -19 Cases

Big Data y las implicaciones en la cuarta revolución industrial - Retos, oportunidades y tendencias futuras

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