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AI and Big Data in Global Health Improvement

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

4,552 enrolled on this course

AI and Big Data in Global Health Improvement

Explore the benefits of healthcare organisations sharing data.

In an era where big data and artificial intelligence play an important role in healthcare, data sharing has huge potential for global health improvement and patient safety. This is especially pertinent during the COVID-19 pandemic.

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

With support from industry experts, you’ll consider topics like the future of medical development, improving care, healthcare 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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Skip to 0 minutes and 14 seconds Hello everyone, hope you all are keeping well. My name is Usman Iqbal and I am working as an Assistant professor at Taipei Medical University. Welcome to this course. In this course, you will learn about the application of big data and artificial intelligence in medicine and how data have transformed healthcare today globally. You will also learn about the benefits and challenges of sharing global healthcare data. Data transparency is very important, as data sharing have huge potential for the healthcare improvement and patient safety around the globe. For example, in Taiwan, during the COVID-19, Taiwan’s initiative for containing COVID-19 includes linking the National Immigration Agency data with the National Health Insurance data.

Skip to 0 minutes and 59 seconds With just the National Health Insurance smart card or ID number, the system alerts healthcare providers to the patients’ travel history and contact history during their clinical visits. Also, Taiwan’s National Health Insurance data played an important role in the eMask distribution system, which is Name-based system, allowed everyone in Taiwan to order face masks through National Insurance through mobile app or MyHealthBank. It also allows one to look up the nearest pharmacy that has face masks in stock so they don’t have to be in a queue. So, whether you work as a healthcare professional or are simply curious, join this course on FutureLearn. Invite your friends to share this learning experience with you. You will learn from prestigious instructors globally.

Skip to 1 minute and 48 seconds About why big data is becoming mainstream, and why it is providing prominent opportunities in the healthcare industry around the world. Thank you!

What topics will you cover?

This course is focused on studies of future global healthcare developments. Topics below will be discussed:

  • How can massive data sharing in healthcare benefit medical development, such as in a pandemic like COVID-19?
  • How can massive data improve patient safety?
  • How can massive data improve healthcare quality, and achieve precision medicine?
  • How can massive data help to achieve standardising global care? For Governments, funding bodies, institutions, and publishers, when given patients data, how do they develop strategies?

When would you like to start?

Start straight away and learn at your own pace. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

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 in global pandemics.
  • Explore how big data and artificial intelligence can play a vital role in global health improvement and study trials.
  • Apply using big data and artificial intelligence to build new globally standardized 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 big data and artificial intelligence applications in healthcare for global health improvement.

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

Who will you learn with?

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

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.

Join this course

Start this course for free, upgrade for extra benefits, or buy Unlimited to access this course and hundreds of other short courses for a year.



Join free and you will get:

  • Access to this course for 6 weeks



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  • Access to this course for as long as it’s on FutureLearn
  • Access to this course’s tests as well as a print and digital Certificate of Achievement once you’re eligible


$189.99 for one year

Buy Unlimited and you will get:

  • Access to this course, and hundreds of other FutureLearn short courses and tests for a year
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Find out more about upgrades or Unlimited.

Available until 22 November 2021 at 23:59 (UTC). T&Cs apply.

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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