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 weeksWeekly study
2 hours
Pooling Healthcare Data Around the World
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.
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?
Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.
Available now
Learning on this course
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.
- 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?
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.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- 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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