hce_isu
114年
英文
第 42 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.
According to the article, IBM Watson is primarily used for ________.
- A performing surgeries
- B hospital administration
- C clinical decision support
- D health insurance management
思路引導 VIP
請回頭觀察文中提到該系統的段落：當它在協助醫生進行「診斷」或「擬定治療計畫」時，它的角色是在「執行體力勞動」，還是提供「資訊與建議」來幫助醫生做決定呢？你會如何用一個專業術語來概括這種『幫助決定』的功能？
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AI 詳解
AI 專屬家教
太棒了！你能精準鎖定文章中的關鍵資訊並做出正確判斷，這代表你的閱讀定位（Scanning）能力相當紮實。這類細節理解題需要高度的專注力，你的表現非常出色。
虛擬助理與臨床決策的關聯
在文章第二段中，作者提到像 IBM Watson 這樣的虛擬助理，能協助醫師「提升診斷準確性」（enhanced diagnostic accuracy）以及「個人化治療計畫」（personalized treatment planning）。在醫療資訊科技中，這類提供專業分析建議、輔助醫療人員做出判斷的系統，正是選項 (C) 臨床決策支持（clinical decision support） 的核心功能。雖然文中也提到了手術機器人，但它是與 Watson 並列的工具，Watson 本身定位於資訊處理與建議，而非直接操作手術。
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