ARTIFICIAL INTELLIGENCE AND DIGITALIZATION OF HEALTHCARE IN THE BRAZILIAN PUBLIC HEALTH SYSTEM (SUS): CHALLENGES AND OPPORTUNITIES
DOI:
https://doi.org/10.63330/aurumpub.014-035Keywords:
Artificial Intelligence, Digital health, Unified Health System, Technological innovation, Health equityAbstract
The incorporation of Artificial Intelligence (AI) and digital technologies into Brazil’s Unified Health System (SUS) represents a profound transformation in healthcare delivery, management, and surveillance. The digitalization of health services, driven by initiatives such as the Digital Health Strategy 2020–2028 (Ministry of Health, 2020), offers significant opportunities to expand access, optimize processes, and enhance clinical decision-making. Davenport and Kalakota (2019) highlight AI’s potential in diagnostics, disease prediction, and personalized care, while Brazilian scholars such as Mendes (2021) emphasize the importance of integrating these innovations into the public system while preserving SUS principles of universality and equity. However, key challenges remain, including system interoperability, data protection (Law No. 13.709/2018 – LGPD), workforce training, and the digital divide across regions. Furthermore, ethical implementation of AI requires transparent governance and public policies guided by social justice. Thus, AI and digitalization constitute both a strategic opportunity to strengthen the SUS and a complex challenge demanding planning, investment, and ethical commitment to reducing health inequalities.
Downloads
References
BRASIL. Estratégia de Saúde Digital para o Brasil 2020–2028. Brasília: Ministério da Saúde, 2020.
BRASIL. Lei nº 13.709, de 14 de agosto de 2018. Dispõe sobre a proteção de dados pessoais e altera a Lei nº 12.965, de 23 de abril de 2014 (Marco Civil da Internet). Diário Oficial da União, Brasília, DF, 15 ago. 2018.
DAVENPORT, T.; KALAKOTA, R. The potential for artificial intelligence in healthcare. Future Healthcare Journal, London, v. 6, n. 2, p. 94–98, 2019. DOI: 10.7861/futurehosp.6-2-94.
GIL, Antônio Carlos. Métodos e técnicas de pesquisa social. 7. ed. São Paulo: Atlas, 2019. 248 p. ISBN 978-85-224-9733-9.
MENDES, Eugênio Vilaça. O cuidado das condições crônicas na atenção primária à saúde: o imperativo da consolidação do SUS. Brasília: Organização Pan-Americana da Saúde (OPAS), 2021. 512 p.
OPAS – ORGANIZAÇÃO PAN-AMERICANA DA SAÚDE. Transformação digital dos sistemas de saúde nas Américas. Washington, D.C.: Organização Pan-Americana da Saúde, 2022. 148 p.
PAIM, Jairnilson Silva. O que é o SUS. 2. ed. Rio de Janeiro: Editora Fiocruz, 2022. 132 p.
TOPOL, E. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books, 2019.
TOPOL, Eric. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books, 2019. 400 p
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
