Published: Oct. 3, 2024
Language: Английский
Supply Chain Analytics, Journal Year: 2024, Volume and Issue: 7, P. 100075 - 100075
Published: July 29, 2024
Language: Английский
Citations
6
International Journal of Innovative Research in Computer Science & Technology, Journal Year: 2025, Volume and Issue: 13(1), P. 19 - 25
Published: Jan. 1, 2025
The rapid evolution of healthcare technology has led to innovative solutions for addressing challenges in patient care, operational efficiency, and data management. Among these, cloud-based digital twins have emerged as a transformative technology, offering real-time, data-driven models that mirror physical entities such patients, medical devices, or processes. This comprehensive review explores the integration twin with cloud computing industry, highlighting its potential revolutionize monitoring management practices. Cloud infrastructure enables seamless collection, storage, processing vast amounts data, empowering provide real-time insights into health, predictive diagnostics, personalized treatment plans. Furthermore, examines role optimizing hospital workflows, improving efficiency enabling remote monitoring. Key security, interoperability, computational demands integrating existing systems are discussed alongside solutions. study also outlines current applications emerging trends, emphasizing artificial intelligence machine learning enhancing capabilities twins. Ultimately, this underscores fostering patient-centric, ecosystem, paving way smarter more efficient delivery systems.
Language: Английский
Citations
0
Decision Analytics Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100559 - 100559
Published: March 1, 2025
Language: Английский
Citations
0
Benchmarking An International Journal, Journal Year: 2025, Volume and Issue: unknown
Published: March 15, 2025
Purpose Recent natural disasters have posed complex challenges for humanitarian logistics companies in delivering essential aid. Companies are transforming their business operations through digital technologies such as twin technology to address these issues. This study aims explore the role of enhancing resilience supply chain management. Design/methodology/approach Partial least squares structural equation modelling was used test conceptual model using technology. Findings The found that three intangible resources, namely, innovation culture, collaborative network and crowdfunding initiatives, positively impact twin-enabled services, resilience. Originality/value extends scope resource-based theory resilience, enabled by proposed enhances applications twins building
Language: Английский
Citations
0
International Journal of Innovative Technologies in Social Science, Journal Year: 2025, Volume and Issue: 1(45)
Published: March 17, 2025
Digital twin technology is revolutionizing healthcare by providing a real-time digital replica of hospital systems, enabling better decision-making and performance optimization. This study examines the implementation models in through an analysis four real-world case studies: The Moorfields Eye Hospital (UK), Singapore General Hospital, Duke Health (USA), Karolinska University (Sweden). By reviewing these cases, highlights their impact on operational efficiency, resource utilization, patient care outcomes. Challenges faced during key lessons learned are discussed to guide future adoption healthcare.
Language: Английский
Citations
0
Published: Oct. 3, 2024
Language: Английский
Citations
0