Bridging Artificial and Human Intelligence: Implementation Strategies and Case Studies in Healthcare
暫譯: 橋接人工智慧與人類智慧：醫療領域的實施策略與案例研究
Hübner, Ursula H., Rubeis, Giovanni, DeLaney, Connie White
相關主題
商品描述
This book reveals how human and artificial intelligence (AI) can be blended to augment the capacities of healthcare professionals, thereby enabling them to design their clinical work more effectively and efficiently. It provides a comprehensive overview about where human intelligence and AI overlap and differ, and how they can mutually enhance healthcare outcomes. Case studies illustrate the added value of AI for healthcare providers, patients and caregivers, and provides organizational strategies for implementing change and facilitating usability. It represents a valuable resource, providing insights into implementation strategies, as well as the ethical and legal frameworks relevant to AI integration.
Bridging Artificial and Human Intelligence addresses relevant topics impacting the healthcare ecosystem and workforce, serving as a pathway to understanding the complex relationship between the medical use of AI and human intelligence. Its primary target audience is graduate students in healthcare with a foundational understanding of biomedical and health informatics principles. Designed as a textbook, it enhances their understanding and competences in leveraging AI within healthcare contexts while emphasizing the importance of human oversight. Using this text, students will gain insights into the ethical and legal considerations surrounding AI implementation, highlighting the diverse roles humans play in this evolving landscape. A secondary audience comprises clinicians, professionals and decision-makers seeking to understand both the benefits and limitations of AI.
商品描述(中文翻譯)
這本書揭示了人類智慧與人工智慧（AI）如何融合，以增強醫療專業人員的能力，從而使他們能夠更有效率地設計臨床工作。它提供了人類智慧與AI之間重疊與差異的全面概述，以及它們如何相互增強醫療結果。案例研究說明了AI對醫療提供者、患者和照護者的附加價值，並提供了實施變革和促進可用性的組織策略。這本書是一個寶貴的資源，提供了有關實施策略的見解，以及與AI整合相關的倫理和法律框架。
《橋接人工與人類智慧》探討了影響醫療生態系統和勞動力的相關主題，作為理解AI在醫療中使用與人類智慧之間複雜關係的途徑。其主要目標讀者是具備生物醫學和健康資訊學原則基礎知識的醫療研究生。這本書作為教科書，增強了他們在醫療環境中利用AI的理解和能力，同時強調人類監督的重要性。透過這本書，學生將獲得有關AI實施的倫理和法律考量的見解，突顯人類在這個不斷演變的環境中所扮演的多樣角色。次要讀者包括尋求了解AI的優勢和限制的臨床醫生、專業人士和決策者。
作者簡介
Ursula H. Hübner is a professor of Medical and Health Informatics and Quantitative Methods. She is the founder of the Research Centre for Health and Social Informatics. Her main fields of research in health sciences informatics are located at the intersection of informatics and statistics/intelligent algorithms. This includes AI prediction models in medicine and nursing, regional learning healthcare system and continuity of care, health IT adoption research and workforce development.
Giovanni Rubeis is a professor of Biomedical Ethics. He conducts research on questions of the ethics of digitalisation in medicine, nursing and mental health, prenatal and reproductive medicine and genome editing. His research focuses on the ethical aspects of digital applications in individualised medicine, with a particular focus on applications of artificial intelligence in medicine and care. Of particular interest is the concept of epistemic justice, i.e. the inclusion of groups that are underrepresented by epistemic practices in the context of Big Data and AI.
Marion J. Ball holds the Raj and Indra Nooyi Endowed Distinguished Chair in Bioengineering, University of Texas at Arlington, College of Nursing and Health Innovation. She serves as the Founding Executive Director of the Center for Innovation in Health Informatics (CIHI). A member of the National Academy of Medicine (NAM) and the American Academy of Nursing (AAN), she is a pioneer in Informatics in Nursing and Medicine. She is the author/editor of 40 books and more than 375 articles in the field of Health Informatics.
作者簡介(中文翻譯)
烏蘇拉·H·休布納（Ursula H. Hübner）是醫療與健康資訊學及定量方法的教授。她是健康與社會資訊研究中心的創始人。她在健康科學資訊學的主要研究領域位於資訊學與統計學/智能算法的交集，包括醫學與護理中的人工智慧預測模型、區域學習健康照護系統及持續照護、健康資訊技術採用研究及人力資源發展。
喬凡尼·魯貝斯（Giovanni Rubeis）是生物醫學倫理學的教授。他研究醫學、護理和心理健康領域數位化的倫理問題、產前及生殖醫學以及基因編輯。他的研究專注於個性化醫療中數位應用的倫理面向，特別是人工智慧在醫療和照護中的應用。特別感興趣的是認識正義的概念，即在大數據和人工智慧的背景下，納入那些在認識實踐中被低估的群體。
瑪莉安·J·巴爾（Marion J. Ball）擔任德克薩斯大學阿靈頓分校護理與健康創新學院的拉吉與印德拉·努伊（Raj and Indra Nooyi）生物工程傑出講座教授。她是健康資訊創新中心（Center for Innovation in Health Informatics, CIHI）的創始執行董事。作為美國國家醫學院（National Academy of Medicine, NAM）和美國護理學院（American Academy of Nursing, AAN）的成員，她是護理和醫學資訊學的先驅。她是40本書籍和超過375篇健康資訊學領域文章的作者/編輯。
