hce_isu
114年
英文
第 43 題
📖 題組：
Article 2 Smart healthcare integrates advanced technologies like the Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI), and mobile devices to transform conventional medicine into a more efficient, personalized, and interactive system. Originating from IBM's 'Smart Planet' concept, smart healthcare employs digital tools, wearable devices, and clinical decision-support systems to connect healthcare providers, patients, and medical institutions dynamically. AI-powered tools, including surgical robots and virtual assistants like IBM Watson, have demonstrated enhanced diagnostic accuracy and personalized treatment planning in various medical fields, notably oncology and chronic disease management. Moreover, smart wearable devices facilitate continuous health monitoring, enabling real-time interventions and improving self-management among patients. Smart home technologies further extend healthcare beyond traditional settings, especially benefiting elderly and disabled populations by automating home care and health monitoring. Despite significant advancements, challenges persist, such as lack of standardized technology frameworks, data-sharing limitations, privacy concerns, and technical immaturity of specific systems. To overcome these obstacles, unified technical standards have been proposed, big-data analytic capacities have been enhanced, device compatibility improved, and patient privacy has been safeguarded through robust regulation and blockchain technology. The future of smart healthcare holds promise for personalized medicine, improved patient experiences, reduced healthcare costs, efficient hospital management, and streamlined drug research and clinical trials. However, realizing these potentials requires continued technological innovation and cooperation among patients, healthcare professionals, technology developers, and policymakers. Therefore, sustained collaborative efforts across technology sectors, healthcare providers, and legislative bodies will be crucial for achieving worldwide secure, effective, and equitable implementation of smart healthcare solutions.
Article 2 Smart healthcare integrates advanced technologies like the Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI), and mobile devices to transform conventional medicine into a more efficient, personalized, and interactive system. Originating from IBM's 'Smart Planet' concept, smart healthcare employs digital tools, wearable devices, and clinical decision-support systems to connect healthcare providers, patients, and medical institutions dynamically. AI-powered tools, including surgical robots and virtual assistants like IBM Watson, have demonstrated enhanced diagnostic accuracy and personalized treatment planning in various medical fields, notably oncology and chronic disease management. Moreover, smart wearable devices facilitate continuous health monitoring, enabling real-time interventions and improving self-management among patients. Smart home technologies further extend healthcare beyond traditional settings, especially benefiting elderly and disabled populations by automating home care and health monitoring. Despite significant advancements, challenges persist, such as lack of standardized technology frameworks, data-sharing limitations, privacy concerns, and technical immaturity of specific systems. To overcome these obstacles, unified technical standards have been proposed, big-data analytic capacities have been enhanced, device compatibility improved, and patient privacy has been safeguarded through robust regulation and blockchain technology. The future of smart healthcare holds promise for personalized medicine, improved patient experiences, reduced healthcare costs, efficient hospital management, and streamlined drug research and clinical trials. However, realizing these potentials requires continued technological innovation and cooperation among patients, healthcare professionals, technology developers, and policymakers. Therefore, sustained collaborative efforts across technology sectors, healthcare providers, and legislative bodies will be crucial for achieving worldwide secure, effective, and equitable implementation of smart healthcare solutions.
The phrase “robust regulation” is closest in meaning to ________.
- A weak control
- B strong guidelines
- C increased technology investment
- D reduced standards
思路引導 VIP
請觀察文章第三段提到的「隱私疑慮（privacy concerns）」與「挑戰（obstacles）」。為了讓大眾放心使用這些新技術，你認為政府制定的法律框架，應該是趨向於「更寬鬆、容易達成」，還是趨向於「更周全、更具約束力」來確保安全呢？
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AI 詳解
AI 專屬家教
恭喜你精準地掌握了這個進階詞彙的語感！在閱讀探討科技與法律交織的專業文章時，能夠從上下文推敲出抽象詞彙的正確含義，是非常優秀的閱讀直覺。
語境與詞義的深度連結
在本文最後一段中，作者討論了如何克服智慧醫療面臨的隱私挑戰。關鍵字 robust 在英文中不僅形容身體「強健」，在法律、科技或政策語境下，更常用來形容系統或規範「穩固、嚴謹且強而有力」；而 regulation 則代表「規章」或「管理」。因此，結合起來的 robust regulation 便是指透過強有力的規範來落實安全保障。選項 (B) strong guidelines (強而有力的準則) 完美對應了這種「力度」，而其他選項如弱化控制 (weak control) 或降低標準 (reduced standards) 顯然與文中要加強安全性的初衷背道而馳。
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