Impactos da rede 5G na telemedicina: uma abordagem baseada em mineração de texto e revisão sistemática

Abstract

This undergraduate thesis aims to analyze to analyze the impacts of 5G technology on telemedicine, highlighting its benefits, challenges, and emerging applications. To achieve this, a systematic literature review was conducted, combined with text mining techniques to identify thematic patterns and the frequency of relevant terms in scientific articles. The methodology followed the PRISMA protocol and included databases such as PubMed, Scopus, ScienceDirect, Wiley Online Library, IEEE Xplore e MDPI, resulting in the analysis of 128 articles selected based on rigorous inclusion criteria. The results revealed that 5G enhances applications such as remote monitoring, teleconsultations, and assisted surgeries by offering higher data transmission speeds, low latency, and support for massive connectivity. However, challenges such as infrastructure limitations, implementation costs, regulatory compliance, and cybersecurity issues still pose barriers to the full adoption of the technology. Thus, 5G represents a promising advancement in the transformation of digital health, especially in remote and decentralized contexts, though it requires continuous investment and appropriate regulations for its consolidation.