TECHNOLOGICAL REVOLUTION AND BIG DATA IN HEALTH 4.0: PERSPECTIVES AND CHALLENGES FOR THE BRAZILIAN PUBLIC HEALTH SYSTEM
DOI:
https://doi.org/10.63330/armv1n6-011Keywords:
Big Data, Saúde 4.0, Saúde Pública, Sistema Único de Saúde, Transformação Digital em SaúdeAbstract
The rise of digital technologies has brought about transformations in healthcare systems, driving the concept of Health 4.0—a new care model that integrates Big Data, artificial intelligence, the Internet of Medical Things (IoMT), and other digital tools. In Brazil, the implementation of these technologies in the Unified Health System (SUS) represents both an opportunity and a challenge, due to structural inequalities, infrastructure limitations, and a lack of technical training.
This article aims to review recent literature on the impacts and challenges of integrating Health 4.0 into the Brazilian public health system. A narrative review of the literature was conducted, with research in the PubMed and IEEE Xplore databases, using strict inclusion and exclusion criteria and qualitative analysis.
The results were organized into five areas: fundamentals of Health 4.0; applications of Big Data in public health; emerging technologies; challenges in the SUS; and future prospects. It was found that, although technological advances have transformative potential, their effectiveness depends on ethical governance, integrated public policies, and strengthening equity.
References
ANDREU-PEREZ, Javier et al. Big data for health. IEEE Journal of Biomedical and Health Informatics, v. 19, n. 4, p. 1193–1208, 2015.
BEAUCHAMP, Tom L.; CHILDRESS, James F. Principles of biomedical ethics. New York: Oxford University Press, 1979.
BRANDT, Allan M. Pandemics and public health history. American Journal of Public Health, v. 111, n. 3, p. 409–410, 2021.
COPPOLA, L. et al. Biobanking in health care: evolution and future directions. Journal of Translational Medicine, v. 17, n. 1, p. 172, 2019.
DUARTE, Elisete; EBLE, Laeticia Jensen; GARCIA, Leila Posenato. 30 anos do Sistema Único de Saúde. Epidemiologia e Serviços de Saúde, v. 27, n. 1, 2018.
HARERIMANA, Gaspard et al. Health big data analytics: a technology survey. IEEE Access, v. 6, p. 65661–65678, 2018.
JIANG, Fei et al. Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, v. 2, n. 4, p. 230-243, 2017.
JOHNSON, Kevin B. et al. Precision Medicine, AI, and the Future of Personalized Health Care. Clinical and Translational Science, v. 14, p. 86–93, 2021.
JOSE, A. et al. Professional competence and its effect on the implementation of Healthcare 4.0 technologies: scoping review and future research directions. International Journal of Environmental Research and Public Health, v. 20, n. 1, p. 478, 2023.
KISHOR, A.; CHAKRABORTY, C. Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System. Wireless Personal Communications, v. 127(3), p.1615–1631, 2022.
LIN, RongHeng et al. Chronic diseases and health monitoring big data: a survey. IEEE Reviews in Biomedical Engineering, 2018.
MIOTTO, B. A. et al. Physician’s sociodemographic profile and distribution across public and private health care: an insight into physicians’ dual practice in Brazil. BMC Health Services Research, v. 18, n. 1, p. 299, 2018.
MWANZA, Joseph; TELUKDARIE, Arnesh; IGUSA, Tak. Impact of Industry 4.0 on healthcare systems of low- and middle-income countries: a systematic review. Health and Technology, v. 13, p. 35–52, 2023.
OSAMA, M. et al. Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions. Sensors, v. 23(17), p. 7435, 2023.
PASNERNAK, Jacyr. What is the future of the Brazilian Public Health System? Einstein (São Paulo), v. 16, n. 4, 2018.
RIBEIRO, M. M. et al. ICT usage in contexts of regional inequalities. In: Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2020, p. 231–235, 2020.
SILVA, B. et al. Dual use of public and private health care services in Brazil. International Journal of Environmental Research and Public Health, v. 19, n. 3, p. 1829, 2022.
SOARES, Antonio et al. Ethics 4.0: Ethical dilemmas in healthcare mediated by social robots. International Journal of Social Robotics, v. 15, p. 807–823, 2023.
SONY, M.; ANTONY, J.; TORTORELLA, G. L. Critical success factors for successful implementation of Healthcare 4.0: a literature review and future research agenda. International Journal of Environmental Research and Public Health, v. 20, n. 5, p. 4669, 2023.
VASQUEZ, B. A. et al. Technological machines and artificial intelligence in nursing practice. Nursing & Health Sciences, v. 25(3), p. 474–481, 2023
VASSOLO, R. S. et al. Hospital Investment Decisions in Healthcare 4.0 Technologies: Scoping Review and Framework for Exploring Challenges, Trends, and Research Directions. Journal of Medical Internet Research, v. 23(8), 2021
YAN, W. et al. Association between inequalities in human resources for health and all-cause and cause-specific mortality in 172 countries and territories. The Lancet, v. 402, n. 10397, p. 1995–2006, 2023.
YANG, H.; CHEN, Y. Analysis and visualization implementation of medical big data resource sharing mechanism based on deep learning. Journal of Healthcare Engineering, v.7, p. 156077-156088, 2019.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Matheus Oliveira Quaresma (Autor)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.