The Future of Healthcare with Industry 5.0: Preliminary Interview-Based Qualitative Analysis

Future Internet, Journal Year: 2024, Volume and Issue: 16(3), P. 68 - 68

Published: Feb. 22, 2024

With the advent of Industry 5.0 (I5.0), healthcare is undergoing a profound transformation, integrating human capabilities with advanced technologies to promote patient-centered, efficient, and empathetic ecosystem. This study aims examine effects on healthcare, emphasizing synergy between experience technology. To this end, 6 specific objectives were found, which answered in results through an empirical based interviews 11 professionals. article thus outlines strategic policy guidelines for integration I5.0 advocating policy-driven change, contributes literature by offering solid theoretical basis its impact sector.

Language: Английский

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Exploring the Impact of Artificial Intelligence on Healthcare Management: A Combined Systematic Review and Machine-Learning Approach

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10144 - 10144

Published: Nov. 6, 2024

The integration of artificial intelligence (AI) in healthcare management marks a significant advance technological innovation, promising transformative effects on processes, patient care, and the efficacy emergency responses. scientific novelty study lies its integrated approach, combining systematic review predictive algorithms to provide comprehensive understanding AI’s role improving across different contexts. Covering period between 2019 2023, which includes global challenges posed by COVID-19 pandemic, this research investigates operational, strategic, response implications AI adoption sector. It further examines how impact varies temporal geographical addresses two main objectives: explore influences domains, identify variations based Utilizing an we compared various prediction algorithms, including logistic regression, interpreted results through SHAP (SHapley Additive exPlanations) analysis. findings reveal five key thematic areas: enhancing quality assurance, resource management, security, pandemic. highlights positive influence operational efficiency strategic decision making, while also identifying related data privacy, ethical considerations, need for ongoing integration. These insights opportunities targeted interventions optimize current future landscapes. In conclusion, work contributes deeper provides policymakers, professionals, researchers, offering roadmap addressing both

Language: Английский

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Deciphering stakeholder voice on the challenges of transformative healthcare 5.0 ecosystem: a quality function deployment analyses

Journal of Health Organization and Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Purpose The healthcare ecosystem continues to evolve with new technological developments the support of its stakeholders. technology-driven and patient-centric Healthcare 5.0 (H5.0) is undergoing a transformation promising enormous benefits. However, need identify understand inherent challenges barriers faced in journey H5.0 implementation relevant countermeasures for accelerated has become critical. Design/methodology/approach current research paper utilised Delphi approach collection information applied well-proven quality function deployment (QFD) methodology analysis. Findings house (HOQ) tool from QFD highlighted critical which contribute to, approximately, 60% total weight. identified top five process descriptors developed HOQ also contribute, approximately among overall countermeasures. A useful progress (HIP) index been recommended tracking made journey. Originality/value This first that provided application domain H5.0. It insights Furthermore, development simple practical HIP another value addition.

Language: Английский

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SFMR-SH: Secure Framework for Mitigating Ransomware Attacks in Smart Healthcare Using Blockchain Technology

Sustainable Machine Intelligence Journal, Journal Year: 2023, Volume and Issue: 2

Published: March 27, 2023

As the healthcare industry increasingly relies on digital technology and Internet of Things (IoT) to improve patient care streamline operations, vulnerability ransomware attacks has become a significant concern. In response this pressing issue, we present SFMR-SH (Secure Framework for Mitigating Ransomware Attacks in Smart Healthcare), groundbreaking approach that integrates IoT devices with blockchain fortify data security. leverages blockchain's inherent properties, including immutability transparency, create an impervious fortress sensitive data. Through comprehensive simulations employing machine learning algorithms (KNN, SVM, Random Forest, Gradient Boosting, XGB), assess framework's ability detect mitigate attacks. Results underscore effectiveness, achieving impressive detection accuracy 99.33%. This research represents stride fortifying smart systems, providing secure environment amid escalating threat landscape, ensuring uninterrupted delivery vital services. Our findings highlight exceptional promise revolutionizing security, safeguarding privacy, future systems digitalized landscape.

Language: Английский

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Cybersecurity for Sustainable Smart Healthcare: State of the Art, Taxonomy, Mechanisms, and Essential Roles

Deleted Journal, Journal Year: 2024, Volume and Issue: 4(2), P. 20 - 62

Published: May 23, 2024

Cutting-edge technologies have been widely employed in healthcare delivery, resulting transformative advances and promising enhanced patient care, operational efficiency, resource usage. However, the proliferation of networked devices data-driven systems has created new cybersecurity threats that jeopardize integrity, confidentiality, availability critical data. This review paper offers a comprehensive evaluation current state context smart healthcare, presenting structured taxonomy its existing cyber threats, mechanisms essential roles. study explored (SHSs). It identified discussed most pressing attacks SHSs face, including fake base stations, medjacking, Sybil attacks. examined security measures deployed to combat SHSs. These include cryptographic-based techniques, digital watermarking, steganography, many others. Patient data protection, prevention breaches, maintenance SHS integrity are some roles ensuring sustainable healthcare. The long-term viability depends on constant assessment risks harm providers, patients, professionals. aims inform policymakers, practitioners, technology stakeholders about imperatives best practices for fostering secure resilient ecosystem by synthesizing insights from multidisciplinary perspectives, such as cybersecurity, management, sustainability research. Understanding recent is controlling escalating networks encouraging intelligent delivery.

Language: Английский

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A survey on safeguarding critical infrastructures: Attacks, AI security, and future directions

International Journal of Critical Infrastructure Protection, Journal Year: 2023, Volume and Issue: 44, P. 100647 - 100647

Published: Dec. 9, 2023

Language: Английский

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Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications

Advances in Human-Computer Interaction, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 19

Published: Oct. 25, 2023

The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative shift towards more resilient future, particularly concerning pandemic preparedness. Within this context, signifies holistic approach to healthcare delivery, where interconnected technologies enable data-driven decision-making, patient-centric care, enhanced efficiency. This paper provides an in-depth exploration FL’s role within the framework its implications for response. Specifically, FL offers potential revolutionize preparedness in several vital ways: it enables collaborative learning from distributed data sources without compromising individual privacy, facilitates decentralized decision-making by empowering local institutions contribute collective knowledge pool, enhances real-time surveillance, enabling early detection outbreaks informed responses. We start laying out concepts 5.0, followed analysis current response mechanisms. delve into applications case studies healthcare, highlighting benefits, including privacy protection, implementation challenges. By articulating how fits we envisage future technologically integrated health system. examining highlight protection effective decision support systems. Our findings demonstrate that can significantly improve times accuracy. Moreover, speculate on scenarios could enhance make resilient. Finally, recommend policymakers, technologists, educators address challenges maximize benefits 5.0. aims discourse next-generation technologies, emphasizing shape future.

Language: Английский

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Security and privacy considerations in IoMT in Healthcare 5.0

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 151 - 169

Published: Jan. 1, 2025

Language: Английский

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Introduction

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Jan. 1, 2025

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Deep Learning Applications in the Resilience Critical Infrastructure Systems—A Systematic Review

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Technological advancements like AI, blockchain, and IoT are merging to bring about a new level of digital change. Critical infrastructure systems (CISs) vital modern society, as they support crucial social functions, economic organization, national defense. Recently, the resilience CISs has garnered attention in academic policy fields, particularly light increased natural technological disasters. However, assessing CIS remains challenging, its practical application operational risk management. Integrating advanced technologies with critical (CI) can significantly enhance quality life boost productivity. Nevertheless, lack robust cybersecurity CI given rise threats vulnerabilities, undermining these potential benefits. The paper explores cyber vulnerabilities dangers various structures, including financial, agricultural, energy, health systems. Moreover, we examine positive aspects artificial intelligence provide rich taxonomy solutions that show how well AI-based approaches deal different types cyberattacks on infrastructure.

Language: Английский

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