A Fast Healthcare Interoperability Resources (FHIR) Implementation Integrating Complex Security Mechanisms

Rosa, Marco; Faria, Cristiano; Barbosa, Ana Madalena; Caravau, Hilma; Rosa, Ana Filipa; Rocha, Nelson Pacheco da

doi:10.1016/j.procs.2019.12.215

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…In a similar manner to industry 4.0, the healthcare industry has revolutionized from 1.0 to 4.0 as illustrated in Figure 7 [415][416][417]. Besides the implementation of industry 4.0 technologies in the healthcare system, there are ongoing studies in the development of healthcare services including the Social Cooperation for Integrated Assisted Living (SOCIAL) [418], OpenEHR [419], GraphQL, and HL7 FHIR [420]. is is because healthcare service and management plays an essential role in the human society [421,422].…”

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

View full text Add to dashboard Cite

show abstract

“…In a similar manner to industry 4.0, the healthcare industry has revolutionized from 1.0 to 4.0 as illustrated in Figure 7 [415][416][417]. Besides the implementation of industry 4.0 technologies in healthcare system, there are ongoing studies in the development of healthcare services including the Social Cooperation for Integrated Assisted Living (SOCIAL) [418], OpenEHR [419], GraphQL and HL7 FHIR [420]. This is because Healthcare services and management plays an essential role in human society [421,422].…”

Section: Convergence Of Disruptive Technologies In Food and Agriculturementioning

confidence: 99%

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

Bongomin¹,

Yemane²,

Kembabazi³

et al. 2020

Preprint

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Very well into the dawn of the fourth industrial revolution (industry 4.0), we 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 in the industrial sectors remains ill-defined in both academic and non-academic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technologies convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in 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) are 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 are illustrated.

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“…La mayor penetración de mercado del estándar HL7/CDA, así como la ventaja de tener definida una interfaz normalizada de acceso a los datos clínicos y la experiencia previa [7], [8], [9], [10] de algunos miembros del equipo de trabajo, sugieren la idoneidad de usar el estándar FHIR para el desarrollo del presente proyecto.…”

Section: Estado De La T éCnicaunclassified

Aplicación de control de acceso y técnicas de Blockchain para el control de datos genéticos

Román¹,

Madinabeitia²,

Estepa³

et al. 2021

Colección Jornadas Y Congresos

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A Fast Healthcare Interoperability Resources (FHIR) Implementation Integrating Complex Security Mechanisms

Cited by 12 publications

References 14 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

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

Aplicación de control de acceso y técnicas de Blockchain para el control de datos genéticos

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