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Publication
O papel da Inteligência Artificial na superação de barreiras na telessaúde: Eficiência e acessibilidade dos serviços
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.39 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
A crescente digitalização dos cuidados de saúde trouxe a telessaúde para
o centro das discussões sobre inovação e acessibilidade. Contudo, a sua
implementação ainda enfrenta desafios significativos, como a falta de literacia
digital, desconfiança na tecnologia e ausência de regulamentação clara. Este
estudo analisa de que forma a Inteligência Artificial (IA) pode ser utilizada para
ultrapassar essas barreiras, promovendo maior eficiência e inclusão nos serviços
de telessaúde. A investigação combina uma revisão aprofundada da literatura
com entrevistas qualitativas a 10 profissionais de saúde e 10 pacientes com
doenças crónicas, permitindo uma análise crítica sobre a perceção, os usos atuais
e o potencial futuro da IA neste contexto. Os resultados demonstram que, quando
aplicada com responsabilidade, a IA pode otimizar processos clínicos, melhorar
a triagem, apoiar o diagnóstico e personalizar o acompanhamento dos utentes,
desde que acompanhada de formação, supervisão profissional e uma base ética e
legal robusta. Este estudo contribui com recomendações práticas para uma
integração equilibrada da IA, centrada no ser humano e orientada para a redução
das desigualdades no acesso à saúde.
The increasing digitalization of healthcare has placed telehealth at the forefront of discussions on innovation and accessibility. However, its implementation still faces significant challenges, such as low digital literacy, distrust in technology, and a lack of clear regulation. This study explores how Artificial Intelligence (AI) can be used to overcome these barriers, enhancing both efficiency and inclusiveness in telehealth services. The research combines an in-depth literature review with qualitative interviews involving 10 healthcare professionals and 10 patients with chronic conditions, offering a critical analysis of current perceptions, applications, and the future potential of AI in this context. Findings reveal that, when responsibly implemented, AI can optimize clinical processes, improve triage, support diagnosis, and enable personalized patient follow-up—provided it is accompanied by professional training, supervision, and a robust ethical and legal framework. This study offers practical recommendations for a balanced, human-centered integration of AI aimed at reducing healthcare inequalities and improving the quality of remote care.
The increasing digitalization of healthcare has placed telehealth at the forefront of discussions on innovation and accessibility. However, its implementation still faces significant challenges, such as low digital literacy, distrust in technology, and a lack of clear regulation. This study explores how Artificial Intelligence (AI) can be used to overcome these barriers, enhancing both efficiency and inclusiveness in telehealth services. The research combines an in-depth literature review with qualitative interviews involving 10 healthcare professionals and 10 patients with chronic conditions, offering a critical analysis of current perceptions, applications, and the future potential of AI in this context. Findings reveal that, when responsibly implemented, AI can optimize clinical processes, improve triage, support diagnosis, and enable personalized patient follow-up—provided it is accompanied by professional training, supervision, and a robust ethical and legal framework. This study offers practical recommendations for a balanced, human-centered integration of AI aimed at reducing healthcare inequalities and improving the quality of remote care.
Description
Keywords
Inteligência Artificial Telesaúde Barreiras tecnológicas Acessibilidade Saúde Literacia digital Eficiência dos serviços de saúde