Innovations in Digital Health

Innovations in Digital Health

本课程是 Technological advancement in Healthcare 专项课程的一部分

位教师：Prof. Paul S. Lalvani

访问权限由 New York State Department of Labor 提供

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Discover how AI is shaping healthcare through automation, evolving trends and key applications.
Learn how big data transforms healthcare delivery, improves patient outcomes and addresses key adoption challenges.
Explore how blockchain enables secure, transparent health data sharing and drives innovation.
Understand the role of robotics in healthcare, its applications, future potential, and key implementation challenges.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

8 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Technological advancement in Healthcare 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

This course explores the cutting-edge technologies shaping the future of global healthcare. Learners will gain understanding of how Artificial Intelligence, Big Data, Blockchain, and Robotics are transforming the way health services are delivered and experienced. Through examples, you’ll discover how digital innovations are improving patient outcomes, enhancing system efficiency, and expanding access to care. Whether you are a student, a healthcare professional, or simply curious about technology’s role in improving lives, this course will provide you with the knowledge and inspiration to navigate and contribute to the digital health revolution.

This chapter introduces the concept of Artificial Intelligence (AI) and its growing significance in healthcare. It explores the evolution of AI, its key branches such as machine learning and deep learning, and how these technologies are transforming medical diagnosis, treatment, and administration. It also discusses the future trends of AI-driven healthcare systems.

涵盖的内容

4个视频1篇阅读材料2个作业

This chapter explains the concept of big data and its transformative role in healthcare. It covers applications of large datasets are used in healthcare for enhancing patient health outcomes. The chapter also delves into technologies and tools used for data analytics, along with challenges faced in its adoption.

涵盖的内容

2个视频1篇阅读材料2个作业

This chapter explores blockchain technology and its applications in healthcare. It explains how blockchain ensures secure and transparent sharing of patient data across systems. The chapter also discusses data integrity, patient centered data control, public health surveillance and more, while also addressing implementation challenges and global trends in blockchain adoption.

涵盖的内容

2个视频1篇阅读材料2个作业

This chapter introduces robotics technology and its expanding use in healthcare. It explains different applications of robotics, from surgical and rehabilitation robots to service and assistive robots. The chapter discusses their benefits in improving precision and efficiency and challenges in large-scale integration, and insights into market trends and future potential.