Learn how artificial intelligence is transforming healthcare and how it can be used to support change in the healthcare workforce. Build your digital understanding and become a champion for AI in healthcare. AI is transforming healthcare in a variety of beneficial ways, from streamlining workflow processes to making more precise patient diagnoses. However, this is not without its challenges.
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The University of Manchester has partnered with Health Education England to create a course for you to see real-world examples of how AI is transforming areas such as radiology, pathology, and nursing.
On this course, you will develop your own digital skills and increase your understanding of technology for healthcare, so that you can join the conversation on embedding AI in healthcare practice.
Syllabus
Week 1: Motivating AI in healthcare
Week 2: What is artificial intelligence?
Week 3: Data in healthcare
Week 4: Making it work
Week 5: Supporting and skilling the workforce
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 the benefits and challenges of Artificial Intelligence (AI) in healthcare across the broader spectrum of the health sector
- Explore the concepts, ethical principles and approaches of AI within healthcare
- Investigate the challenges and opportunities of data in healthcare to transform patient care
- Explore the roles, teams and skills required to enable AI in healthcare
- Apply learning to authentic and practice-based case studies which look at a range of applications of AI
- Develop current practice, skills and knowledge to support recommendations from the Topol Review
Who is the course for?
This course is designed for health and social care professionals in the UK.
It is relevant to any non-UK healthcare professionals who want to understand the basic concepts, challenges and opportunities of AI in their respective healthcare systems.
The course is also useful for those with relevant skills outside the NHS who have an interest in new professional groups emerging from AI, such as clinical data scientists, medical software engineers, and digital medicine specialists.
