安全健康：医疗保健管理人员网络安全指南

English | 2024 | ISBN: 9781003470038 | 259 pages | True PDF,EPUB | 15.97 MB

In today’s interconnected world, healthcare systems are increasingly turning to digital technologies to enhance patient care and optimize operations. However, this digital transformation presents significant challenges in guaranteeing the security and privacy of sensitive healthcare data. Secure Health: A Guide to Cybersecurity for Healthcare Managers confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems.

From examining the convergence of Internet of Things (IoT) applications with healthcare privacy and security to investigating ethical hacking frameworks and biometric access management, each chapter delves into valuable insights for safeguarding healthcare data in an ever-more digitized landscape. What sets this book apart is its holistic perspective, encompassing not only technical aspects but also governance standards, the unique cybersecurity challenges of telehealth, and the optimization of healthcare supply chain management.

KEY FEATURES

• Explores the integration of IoT devices into healthcare and the associated privacy and security risks.

• Examines security frameworks and best practices for e-health information governance.

• Introduces a novel framework for ethical hacking in digital health.

• Analyzes the effectiveness of different artificial intelligence (AI) models for botnet traffic classification.

• Delves into the unique challenges of securing telehealth and remote monitoring systems.

• Offers practical guidance on securing the future of e-health through smart sensor network management.

中文|2024|ISBN:9781003470038|259页|True PDF，EPUB | 15.97 MB在当今互联的世界中，医疗保健系统越来越多地转向数字技术来加强患者护理和优化操作。然而，这种数字化转型在保证敏感医疗数据的安全性和隐私方面带来了重大挑战。《安全健康：医疗保健管理人员网络安全指南》直面这些挑战，全面探索了保护数字医疗系统的最新进展和最佳实践。 从检查物联网（IoT）应用程序与医疗保健隐私和安全的融合，到调查道德黑客框架和生物识别访问管理，每一章都深入探讨了在日益数字化的环境中保护医疗保健数据的宝贵见解。这本书的独特之处在于它的整体视角，不仅包括技术方面，还包括治理标准、远程医疗的独特网络安全挑战以及医疗供应链管理的优化。 主要特征 •探讨物联网设备与医疗保健的集成以及相关的隐私和安全风险。 •审查电子健康信息治理的安全框架和最佳实践。 •引入了一种新的数字健康道德黑客框架。 •分析不同人工智能（AI）模型对僵尸网络流量分类的有效性。 •深入研究保护远程医疗和远程监控系统的独特挑战。 •通过智能传感器网络管理为确保电子健康的未来提供实用指导。

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