State of the Art and Future Directions of Healthcare 4.0: A Systematic Literature Review

被引:0
作者
Dos Santos, Carlos Henrique [1 ]
Romano, Andre Luiz [1 ,2 ]
Junior, Walther Azzolini [2 ]
Cesar, Francisco Ignacio Giocondo [2 ,3 ]
Ferraco, Fabio [1 ]
Rozo-Rojas, Ivanhoe [4 ]
机构
[1] Univ Fed Alfenas UNIFAL, Fed Univ Alfenas, Inst Sci & Technol, BR-37130000 Pocos De Caldas, Brazil
[2] Univ Sao Paulo, Sch Engn Sao Carlos, BR-05508220 Sao Carlos, SP, Brazil
[3] Fed Inst Sao Paulo IFSP, BR-01109010 Piracicaba, SP, Brazil
[4] Univ Catolica Colombia, Fac Engn, Bogota 110911, Colombia
关键词
Medical services; Systematic literature review; Fourth Industrial Revolution; Internet of Things; Decision making; Databases; Real-time systems; Hospitals; Technological innovation; Big Data; Healthcare; 4.0; emerging technologies; systematic literature review; SUPPLY CHAIN MANAGEMENT; ROBOT SKIN; COLLABORATION; ARCHITECTURE; SAFER;
D O I
10.1109/ACCESS.2025.3575054
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article explores the emerging field of Healthcare 4.0, which integrates advanced technologies from Industry 4.0 to enhance decision-making processes in the healthcare context. As the healthcare landscape evolves, there is a pressing need to understand how these innovations can support clinical and operational management, ultimately improving patient outcomes and healthcare efficiency. This study employs a systematic literature review (SLR) methodology to investigate the current state of research on Healthcare 4.0 solutions, focusing on their applications across various healthcare sectors. The main scientific databases were considered and we evaluated peer-reviewed articles published in scientific journals until July 2024. The review identifies key themes, trends, and gaps in the literature, revealing that while the field is still in its infancy, there is a notable increase in publications, indicating growing interest and potential for future research. The findings categorize applications into several areas, including hospital general facilities and specific environments, highlighting the diverse contexts in which Healthcare 4.0 technologies are being implemented. Additionally, the study examines the geographical distribution of research, with a significant emphasis on developments in Asia and Europe. Regarding the decision objectives, we highlight the use of Healthcare 4.0 solutions to improve the performance of activities related to data exchange, diagnosis, and patient monitoring. Furthermore, considering the main techniques and tools adopted by the authors, Artificial Intelligence, Internet of Things, and Blockchain stand out, as well as hybrid approaches which integrate different solutions. By synthesizing these insights, the article contributes to a deeper understanding of how Healthcare 4.0 can transform decision-making in health facilities, offering directions for future research and practical implications for healthcare researchers and professionals.
引用
收藏
页码:96469 / 96482
页数:14
相关论文
共 101 条
[1]   Blockchain Technology for Embracing Healthcare 4.0 [J].
Abbate, Stefano ;
Centobelli, Piera ;
Cerchione, Roberto ;
Oropallo, Eugenio ;
Riccio, Emanuela .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 70 (08) :2998-3009
[2]   Enhancing Healthcare Data Security and Disease Detection Using Crossover-Based Multilayer Perceptron in Smart Healthcare Systems [J].
Abidi, Mustufa Haider ;
Alkhalefah, Hisham ;
Aboudaif, Mohamed K. .
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2024, 139 (01) :977-997
[3]   Blockchain-Based UAV Path Planning for Healthcare 4.0: Current Challenges and the Way Ahead [J].
Aggarwal, Shubhani ;
Kumar, Neeraj ;
Alhussein, Musaed ;
Muhammad, Ghulam .
IEEE NETWORK, 2021, 35 (01) :20-29
[4]   IoT-fog-based healthcare 4.0 system using blockchain technology [J].
Ahmad, Israr ;
Abdullah, Saima ;
Ahmed, Adeel .
JOURNAL OF SUPERCOMPUTING, 2023, 79 (04) :3999-4020
[5]  
Ahsan MM, 2022, International Journal of Information Management Data Insights, V2, P100079, DOI [10.1016/j.jjimei.2022.100079, 10.1016/j.jjimei.2022.100079, DOI 10.1016/J.JJIMEI.2022.100079]
[6]   Factors influencing the Supply Chain Management in e-Health using UTAUT model [J].
Al Moteri, Moteeb ;
Alojail, Mohammed .
ELECTRONIC RESEARCH ARCHIVE, 2023, 31 (05) :2855-2877
[7]   AI-enabled photonic smart garment for movement analysis [J].
Avellar, Leticia ;
Stefano Filho, Carlos ;
Delgado, Gabriel ;
Frizera, Anselmo ;
Rocon, Eduardo ;
Leal-Junior, Arnaldo .
SCIENTIFIC REPORTS, 2022, 12 (01)
[8]   Artificial neural network-driven federated learning for heart stroke prediction in healthcare 4.0 underlying 5G [J].
Bhatt, Harsh ;
Jadav, Nilesh Kumar ;
Kumari, Aparna ;
Gupta, Rajesh ;
Tanwar, Sudeep ;
Polkowski, Zdzislaw ;
Tolba, Amr ;
Hassanein, Azza S. .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (03)
[9]   BinDaaS: Blockchain-Based Deep-Learning as-a-Service in Healthcare 4.0 Applications [J].
Bhattacharya, Pronaya ;
Tanwar, Sudeep ;
Bodkhe, Umesh ;
Tyagi, Sudhanshu ;
Kumar, Neeraj .
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 8 (02) :1242-1255
[10]   Recommendation system using feature extraction and pattern recognition in clinical care systems [J].
Bhatti, Uzair Aslam ;
Huang, Mengxing ;
Wu, Di ;
Zhang, Yu ;
Mehmood, Anum ;
Han, Huirui .
ENTERPRISE INFORMATION SYSTEMS, 2019, 13 (03) :329-351