全球医疗大数据的整合共享

Pooling Healthcare Data Around the World

Discover how data sharing in the healthcare sector has the potential to improve medical outcomes all over the world.

1028 次查看
台北医学大学
FutureLearn
  • 完成时间大约为 4
  • 初级
  • 英语
注:本课程由FutureLearn和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Describe how big data can improve the quality of healthcare.

Explore how big data and artificial intelligence can be utilized in the field of healthcare for quality improvement.

Apply using big data and artificial intelligence to build new methodologies to improve healthcare.

Improve healthcare quality and patient safety using massive observational health data and artificial intelligence techniques.

课程概况

In an era when big data and artificial intelligence are taking an increasingly larger role in healthcare, data sharing has huge potential for improvements in medical development, patient safety, and waste reduction.

On this course, you’ll explore the benefits and challenges of sharing global healthcare data.

With support from industry experts, you’ll consider topics like the future of medical development, improving medical care, medical accessibility, and more.

You’ll also discover the strategies used by governments, funding bodies, institutions, and publishers to get access to datasets.

课程大纲

How can massive data sharing in healthcare benefit medical development, such as in a global outbreak like COVID-19?

How can massive data to improve patient safety?

How can massive data to enhance medical quality, and achieve precision medicine?

How can massive data to increase medical accessibility?

For Governments, funding bodies, institutions, and publishers, when given patients data, how do they develop strategies?

面向人群

This course is designed for anyone interested in artificial intelligence’s application in healthcare.

This is likely to include healthcare students, researchers, and professionals.

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