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.

  • Duration 4 weeks
  • Weekly study 2 hours
  • Learn Free
  • Extra benefits From $59 Find out more

Explore the benefits of healthcare organisations sharing healthcare data

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.

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What topics will you cover?

This course is focused on studies of future medical development. Topics below will be discussed:

  • 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?

When would you like to start?

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more

  • Available now

What will you achieve?

By the end of the course, you'll be able to...

  • 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.

Who is the course for?

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

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

Who will you learn with?

Usman Iqbal

Usman Iqbal

Assistant Professor with expertise in health data and informatics, health care quality and management, and Global Health.

Jack Li

Jack Li

Yu-Chuan Jack Li is a pioneer of AI in Medicine, Medical Informatics Research and a dermatologist in Taiwan. Find out more on http://www.jackli.cc

Who developed the course?

Taipei Medical University

Taipei Medical University (TMU) has been a leader in Taiwan’s healthcare system for over half a century due to its research, teaching excellence, internationalization and outstanding medical service.

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Get a taste of this course

Find out what this course is like by previewing some of the course steps before you join: