Cargando…

Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0

OBJECTIVE: The objective of this theoretical paper is to identify conceptual solutions for securing, predicting, and improving vaccine production and supply chains. METHOD: The case study, action research, and review method is used with secondary data – publicly available open access data. RESULTS:...

Descripción completa

Detalles Bibliográficos
Autores principales:	Radanliev, Petar, De Roure, David
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2023
Materias:	Review Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811889/ https://www.ncbi.nlm.nih.gov/pubmed/36620395 http://dx.doi.org/10.1007/s12553-022-00722-2

Ejemplares similares

Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X
por: Radanliev, Petar, et al.
Publicado: (2021)

Advancing the cybersecurity of the healthcare system with self-optimising and self-adaptative artificial intelligence (part 2)
por: Radanliev, Petar, et al.
Publicado: (2022)

The ethics of shared Covid-19 risks: an epistemological framework for ethical health technology assessment of risk in vaccine supply chain infrastructures
por: Radanliev, Petar, et al.
Publicado: (2021)

Super-forecasting the ‘technological singularity’ risks from artificial intelligence
por: Radanliev, Petar, et al.
Publicado: (2022)

Artificial intelligence in cyber physical systems
por: Radanliev, Petar, et al.
Publicado: (2020)

A visual review of artificial intelligence and Industry 4.0 in healthcare()
por: Sood, Sandeep Kumar, et al.
Publicado: (2022)

Performance Optimization of Industrial Supply Chain Using Artificial Intelligence
por: Alomar, Madani Abdu
Publicado: (2022)

Multistage implementation framework for smart supply chain management under industry 4.0
por: Shao, Xue-Feng, et al.
Publicado: (2021)

Industry 4.0: Machinery integration with supply chain and logistics in compliance with Italian regulations
por: Sinitò, Diego, et al.
Publicado: (2023)

Data mining and analysis of scientific research data records on Covid-19 mortality, immunity, and vaccine development - In the first wave of the Covid-19 pandemic
por: Radanliev, Petar, et al.
Publicado: (2020)

Alternative mental health therapies in prolonged lockdowns: narratives from Covid-19
por: Radanliev, Petar, et al.
Publicado: (2021)

New and emerging forms of data and technologies: literature and bibliometric review
por: Radanliev, Petar, et al.
Publicado: (2022)

Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain
por: Shayganmehr, Masoud, et al.
Publicado: (2021)

Balancing resilience and efficiency in supply chains: Roles of disruptive technologies under Industry 4.0
por: Xue, Jing, et al.
Publicado: (2023)

Application of industry 4.0 enablers in supply chain management: Scientometric analysis and critical review
por: Younis, Hassan, et al.
Publicado: (2023)

Supply Chain 4.0: the impact of supply chain digitalization and integration on firm performance
por: Liu, Kam Pui, et al.
Publicado: (2021)

Industry 4.0 and Digitalisation in Healthcare
por: Popov, Vladimir V., et al.
Publicado: (2022)

Shipbuilding 4.0 Index Approaching Supply Chain
por: Ramirez-Peña, Magdalena, et al.
Publicado: (2019)

Vaccine supply chain coordination using blockchain and artificial intelligence technologies
por: Gao, Ye, et al.
Publicado: (2023)

Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America
por: Zhang, Guoqing, et al.
Publicado: (2022)

The implications of Industry 4.0 on supply chains amid the COVID-19 pandemic: a systematic review
por: Reza, Mohammad Nurul Hassan, et al.
Publicado: (2022)

5G standards for the Industry 4.0 enabled communication systems using artificial intelligence: perspective of smart healthcare system
por: Alhayani, Bilal, et al.
Publicado: (2022)

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies
por: Debnath, Binoy, et al.
Publicado: (2023)

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0
por: Ruppert, Tamás, et al.
Publicado: (2022)

Intelligent Control and Digital Twins for Industry 4.0
por: Tepljakov, Aleksei
Publicado: (2023)

The future of industry 4.0 and the circular economy in Chinese supply chain: In the Era of post-COVID-19 pandemic
por: Dongfang, Wang, et al.
Publicado: (2022)

Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective
por: Ahmed, Tazim, et al.
Publicado: (2023)

Industry 4.0 adoption for healthcare supply chain performance during COVID-19 pandemic in Brazil and India: the mediating role of resilience abilities development
por: Tortorella, Guilherme Luz, et al.
Publicado: (2023)

Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries)
por: Nozari, Hamed, et al.
Publicado: (2022)

Intelligent Warehouse in Industry 4.0—Systematic Literature Review
por: Tubis, Agnieszka A., et al.
Publicado: (2023)

Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things
por: Radanliev, Petar, et al.
Publicado: (2021)

Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors
por: Kumar, Ashwani, et al.
Publicado: (2023)

Key concepts in artificial intelligence and technologies 4.0 in services
por: Belk, Russell W., et al.
Publicado: (2023)

Supply chain resilience and industry 4.0: a evaluation of the Brazilian northeast automotive OEM scenario post COVID-19
por: Soares, Milton C., et al.
Publicado: (2021)

Industry 4.0
por: André, Jean-Claude
Publicado: (2019)

Sustainability in the Aerospace, Naval, and Automotive Supply Chain 4.0: Descriptive Review
por: Ramirez-Peña, Magdalena, et al.
Publicado: (2020)

Industry 5.0 or industry 4.0S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies
por: Raja Santhi, Abirami, et al.
Publicado: (2023)

The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0
por: Attaran, Mohsen, et al.
Publicado: (2023)

Enhanced Dual Convolutional Neural Network Model Using Explainable Artificial Intelligence of Fault Prioritization for Industrial 4.0
por: Kidambi Raju, Sekar, et al.
Publicado: (2023)

Agile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industry
por: Korucuk, Selçuk, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_f7nrm9jav0jsjt2ni8abealaom