APLICAÇÕES DE BANCO DE DADOS, TELEMEDICINA E INTELIGÊNCIA ARTIFICIAL NA SAÚDE DE LOCALIDADES REMOTAS: UMA REVISÃO SISTEMÁTICA
DOI:
https://doi.org/10.66104/vypns538Palabras clave:
telemedicina; inteligência artificial; banco de dados; saúde remota; segurança de dadosResumen
A crescente demanda por acesso equitativo à saúde, especialmente em regiões remotas, impulsiona a integração de telemedicina e inteligência artificial (IA). Este estudo aborda a lacuna de uma síntese abrangente sobre a sinergia entre bancos de dados robustos, telemedicina e IA para otimizar a prestação de serviços de saúde em contextos desafiadores. Realizamos uma revisão sistemática seguindo as diretrizes PRISMA, consultando Semantic Scholar, CrossRef, PubMed e arXiv com termos-chave específicos. A seleção resultou em 10 artigos que exploram aspectos como segurança de dados, monitoramento remoto, avaliação de desfechos e aplicações inovadoras. Os achados revelam que a segurança e integridade dos dados médicos são primordiais, com propostas de watermarking e criptografia. A IA e IoT aprimoram o diagnóstico e monitoramento, enquanto a avaliação de desfechos reportados pelo paciente (PROMs/PREMs) valida a eficácia das intervenções. Concluímos que a integração eficaz de bancos de dados seguros, telemedicina e IA é fundamental para superar barreiras geográficas e melhorar a qualidade da saúde em áreas remotas, mas desafios como interoperabilidade e privacidade persistem. A pesquisa futura deve focar em modelos de implementação escaláveis e validação clínica em larga escala.
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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
