Questão FC687615
Text for question. Just a few years ago, we spoke of Artificial Intelligence’s (AI’s) promise; today, it has become a tangible reality. In addressing the complexities of global hea
Interpretação de Textos (Understanding)
QUADRIX · 2025
Text for question.
Just a few years ago, we spoke of Artificial Intelligence’s (AI’s) promise; today, it has become a tangible reality. In addressing the complexities of global healthcare challenges, AI is emerging not just as a tool but as a transformative force reshaping healthcare delivery.
The advancements in AI technology present unprecedented opportunities to revolutionise healthcare, making it more effective, accessible, and economically sustainable. By fostering the integration of AI through appropriate policies, we can enhance equity, improve care, and ensure that new technologies, treatments, and medicines benefit society at large.
AI can facilitate the efficient allocation of healthcare resources. Predictive modelling can forecast patient admissions and optimise the use of hospital beds, staff, and equipment. This ensures resources are available where and when needed most, reducing waste and enhancing the quality of care.
AI also has the potential to tackle some of the most pressing challenges in healthcare, such as rising costs, inefficiencies, and the demand for higher-quality care. It can reduce costs and streamline administrative tasks like patient scheduling, billing, and electronic health records management by automating and optimising operations. This can free healthcare professionals to focus more on patient care.
In diagnostics, AI enhances accuracy and enables earlier detection, often leading to less invasive and more cost-effective treatment options.
In general, AI is transforming the pharmaceutical sector across the entire lifecycle of medicines, from medicinal product discovery and development to pharmacokinetics, evaluation, manufacturing, marketing, approval, and pharmacovigilance.
In medicines discovery, AI accelerates the process by identifying targets and optimising the design of medicinal products. During development, AI enhances formulations and facilitates personalised medicines. In pharmacokinetics, AI-driven predictions help determine optimal dosing, while in clinical trials, AI assists with patient stratification, digital twins, and trial simulations.
As we integrate AI into healthcare, we must remain focused on the overarching goal: leveraging this transformative technology to deliver equitable, high-quality care to all. With the right policies and innovations, AI has the potential to drive a healthier, more sustainable future for everyone.
Internet: <health.ec.europa.eu> (adapted).
It can be concluded from the third paragraph that
- the use of AI can decrease medical errors and improve communication.
- AI technology brings the most perfect room service to hospitals.
- patient admission with AI are more technological than before.
- AI can improve basic services at hospitals by foretelling the best use of resources.
- with AI, hospitals equipment can last longer.
Mostrar resposta e comentário
Gabarito
D
Comentário do professor
A alternativa D resume corretamente a ideia do terceiro parágrafo: a IA melhora a operação hospitalar por meio da alocação eficiente de recursos.
O texto diz que, com modelagem preditiva, é possível prever admissões de pacientes e otimizar o uso de leitos, pessoal e equipamentos, garantindo disponibilidade nos momentos de maior demanda.
Prever a demanda permite planejar escalas, reservar leitos e direcionar equipamentos, reduzindo desperdício e evitando falta de capacidade.
Portanto, afirmar que a IA "melhora serviços básicos ao prever o melhor uso dos recursos" é uma paráfrase fiel e direta da informação contida no parágrafo.
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