Featured byTaipei Medical University by FutureLearn
Overview
On AI and Big Data in Global Health Improvement at Taipei Medical University by FutureLearn , 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.
Key facts
- You’ll start by delving into how AI can be used to improve medical and patient safety.
- Exploring problems such as medication and prescription errors, you’ll learn how using AI can help reduce these errors to help professionals provide better care.
- Big data plays a vital role in the healthcare sector. On the course, you’ll learn best practices on how to share data across the world.
- Through this exploration, you’ll discover the benefits and challenges of data sharing, and how we can navigate these to better prepare for the multidisciplinary world of healthcare technology.
Get more details
Visit programme websiteProgramme Structure
Topics include:
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?
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- 2 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- Start straight away and join a global classroom of learners.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Artificial Intelligence View 41 other Short Courses in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is designed for anyone interested in big data and artificial intelligence applications in healthcare for global health improvement.
- You could be a student, researcher, or healthcare professional.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
94 EUR/fullTuition FeeBased on the tuition of 94 EUR for the full programme during 1 months. -
National
94 EUR/fullTuition FeeBased on the tuition of 94 EUR for the full programme during 1 months.
Funding
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