Using Blockchain Technology in Healthcare Settings: Empowering Patients with Trustworthy Data
暫譯: 在醫療環境中使用區塊鏈技術：賦能患者以可信的數據
Soufiene, Ben Othman, Mallik, Saurav, Alabdulatif, Abdulatif
- 出版商: CRC
- 出版日期: 2025-03-24
- 售價: $2,510
- 貴賓價: 9.5 折 $2,385
- 語言: 英文
- 頁數: 341
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032774452
- ISBN-13: 9781032774459
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相關分類:
區塊鏈 Blockchain
海外代購書籍(需單獨結帳)
商品描述
This book looks at the integration of blockchain technology in healthcare settings, focusing on its potential to address security and privacy concerns of medical applications. From fragmented electronic health records (EHRs) to data breaches and interoperability issues, innovative solutions are necessary to unlock the full potential of health information and prevent the recurrence of such issues.
Blockchain offers a promising framework for addressing these challenges. Its decentralized, tamper-resistant nature holds the key to building trust and transparency in healthcare data management. By leveraging blockchain technology, secure, interoperable systems empower patients to take control of their health information while facilitating a seamless collaboration among healthcare providers. Throughout this book, the authors explore the fundamental principles of blockchain technology and its applications within the healthcare landscape. From EHRs and patient consent management to pharmaceutical supply chains and clinical research, this book examines how blockchain can drive efficiency, enhance security, and ultimately improve patient outcomes.
This book is intended for a broad audience, including healthcare professionals, patients, policymakers, and anyone interested in the intersection of technology and healthcare.
商品描述(中文翻譯)
本書探討區塊鏈技術在醫療環境中的整合，重點關注其解決醫療應用中的安全性和隱私問題的潛力。從零散的電子健康紀錄（EHRs）到數據洩露和互操作性問題，創新的解決方案對於釋放健康信息的全部潛力並防止此類問題的重演是必要的。
區塊鏈提供了一個有前景的框架來應對這些挑戰。其去中心化和防篡改的特性是建立醫療數據管理信任和透明度的關鍵。通過利用區塊鏈技術，安全且可互操作的系統使患者能夠掌控自己的健康信息，同時促進醫療提供者之間的無縫協作。在本書中，作者探討了區塊鏈技術的基本原則及其在醫療領域的應用。從電子健康紀錄（EHRs）和患者同意管理到製藥供應鏈和臨床研究，本書檢視了區塊鏈如何推動效率、增強安全性，並最終改善患者的健康結果。
本書適合廣泛的讀者，包括醫療專業人員、患者、政策制定者以及任何對技術與醫療交集感興趣的人士。
作者簡介
Ben Othman Soufiene is an assistant professor of computer science at the University of Gabes, Tunisia. He earned a PhD in computer science at Manouba University in 2016 for his dissertation on "Secure Data Aggregation in Wireless Sensor Networks." He earned an MS degree at Monastir University in 2012. His research interests include the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data. He has coauthored more than 110 research articles with a Google H-index of 20.
Saurav Mallik (Member, IEEE) earned a PhD at Jadavpur University, Kolkata, India, in 2017. His postgraduate studies were conducted with the Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. He is a research scientist at the University of Arizona, USA. He previously held a postdoctoral fellow with Environmental Epigenetics, Harvard T. H. Chan School of Public Health, University of Texas Health Science Center, Houston, and with the Miller School of Medicine, University of Miami, USA. He has coauthored more than 150 research articles with a Google H-index of 20. His research interests include computational biology, bioinformatics, data mining, biostatistics, and pattern recognition.
Abdulatif Alabdulatif is an assistant professor at the School of Computer Science and Information Technology, Qassim University, Saudi Arabia. He earned a PhD in computer science at RMIT University, Australia, in 2018. He earned a BSc in computer science at Qassim University, Saudi Arabia, in 2008, and an MSc in computer science at RMIT University, Australia, in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and e-health.
作者簡介(中文翻譯)
Ben Othman Soufiene 是突尼西亞加比斯大學的計算機科學助理教授。他於2016年在馬努巴大學獲得計算機科學博士學位，論文主題為「無線感測器網路中的安全數據聚合」。他於2012年在莫納斯提爾大學獲得碩士學位。他的研究興趣包括醫療物聯網、無線人體感測器網路、無線網路、人工智慧、機器學習和大數據。他已共同發表超過110篇研究文章，Google H-index 為20。
Saurav Mallik（IEEE 會員）於2017年在印度加爾各答的賈達夫普大學獲得博士學位。他的研究生學習是在印度統計學院的機器智能單位進行的。他目前是美國亞利桑那大學的研究科學家。他曾在哈佛大學T.H. Chan公共衛生學院、德克薩斯大學健康科學中心休斯頓分校的環境表觀遺傳學和美國邁阿密大學米勒醫學院擔任博士後研究員。他已共同發表超過150篇研究文章，Google H-index 為20。他的研究興趣包括計算生物學、生物資訊學、數據挖掘、生物統計學和模式識別。
Abdulatif Alabdulatif 是沙烏地阿拉伯卡西姆大學計算機科學與資訊技術學院的助理教授。他於2018年在澳大利亞RMIT大學獲得計算機科學博士學位。他於2008年在沙烏地阿拉伯卡西姆大學獲得計算機科學學士學位，並於2013年在澳大利亞RMIT大學獲得計算機科學碩士學位。他在知名期刊上發表了超過70篇學術論文。他的研究興趣包括應用密碼學、雲計算和電子健康。
