How Artificial Intelligence Can Support Healthcare
Discover how AI is used to improve patient care as you explore real-life AI healthcare applications, their impact on healthcare, and how to implement them in your work with this online AI course.
Duration
4 weeks
Weekly study
4 hours
100% online
How it works
Unlimited subscription
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Understand real-life AI healthcare applications and their impact on healthcare
The use of artificial intelligence to improve efficiency is prevalent across almost every industry, none more so than the world of healthcare.
On this course, you’ll learn how to join the discussion on the potential of AI in healthcare in a useful and realistic way.
With the help of teachings from leaders in AI healthcare thinking, you’ll build your knowledge and confidence in key areas of AI healthcare, before learning how it can be implemented into your own workflow.
Explore the potential of artificial intelligence in healthcare
There is a wide range of healthcare-based use-cases for AI, including in the automation of repeated tasks and in improving the accuracy of diagnosis. This course will take you through the full range of AI capabilities and why they are so useful.
You’ll also learn what the requirements are for implementing AI in a clinical environment and what the impact of that implementation is.
Understand the key challenges of AI in healthcare, including AI ethics
Whilst AI is undoubtedly creating many opportunities to improve healthcare provision, it also brings risks and challenges.
From social to ethical, using real-life examples you’ll explore what these risks are so that you can make an informed decision about using AI in your line of work.
The final steps of the course will show you how to introduce AI into your workflow in a meaningful, safe, legal, and ethical way to benefit your patient.
Study with AI healthcare experts from across Europe
This course is led by a partnership of universities, consisting of University Medical Center Groningen, University of Tartu, University of Copenhagen, University Medical Center Cologne, and several industry partners.
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Awarded e-course of the year 2023 |
Week 1
Potential and limitations of AI in healthcare
Introduction to the course
This activity introduces the course How Artificial Intelligence Can Support Healthcare. The course outline and learning objectives are described and the educators are introduced.
What is artificial intelligence?
In this activity, learners will see examples of AI in real life, learn how it works, and practice to distinguish AI from non-AI systems.
Technical background of AI
The previous activity has introduced the basics behind artificial intelligence. This activity explains the technical background in more detail.
Opportunities for AI in healthcare
Case reports and examples of how artificial intelligence can be used in healthcare.
Limitations of AI
Previously, the potential of AI in healthcare has been discussed. This activity covers the limitations that need to be considered before implementation.
Concluding Week 1
A review of this week’s materials and a final test to check comprehension.
Week 2
Tackling the technical and regulatory challenges of AI
Introduction Week 2
Introduction of this week, where you encounter technical and regulatory challenges of artificial intelligence, in particular in the field of healthcare.
Trustworthy AI
This activity describes the Ethics Guidelines for Trustworthy AI. One requirement for trustworthy AI, bias, is explained in more detail with the use of examples.
Explainable AI
This activity covers the topic of explainable AI, a subfield of AI which helps users to understand the system better.
Clinical Products and Services using AI
For AI to be used in healthcare, the system must adhere to the General Data Protection Regulation (GDPR), Medical Device Regulation (MDR) and In Vitro Diagnostics Regulation (IVDR).
Concluding Week 2
A review of this week’s materials and a final test to check comprehension.
Week 3
Ethical and social aspects of AI in healthcare
Introduction Week 3
Ethical and social issues in AI in healthcare.
Ethical concerns
Discussion of the ethical issues of AI in healthcare. Examples from the news are displayed and patients share their concerns. Learners are asked to think along.
Dealing with ethical concerns
Healthcare professionals explaining how they deal with ethical concerns of their patients. Ethics experts responding to ethics concerns raised by patients. How to use AI responsibly?
Interaction between AI and healthcare professionals
Highlighting the artificial intelligence-healthcare professional interaction. Explanation of deskilling and over-reliance and preventing those.
Patients interacting with AI
We show ways in which patients can directly interact with AI. How does this relate to ethical issues?
Can we trust AI?
Urging the learners to think about the trustworthiness of AI by showing a debate between critics.
Future perspectives
Healthcare professionals discuss the future role of artificial intelligence in healthcare as well as whether AI will replace the healthcare professional.
Concluding Week 3
A recap of this week’s materials and a final test to check comprehension.
Week 4
Practical examples and wrap-up
Introduction Week 4
Introduction of this week. Explanation of the planning. Getting to know the storyline of this week.
Manager’s perspective
Meet our manager, Lisa who wants to use an AI application in the clinical center she works for. How can she assess the potential AI solutions?
IT perspective
In this activity, the requirements are discussed from an IT perspective.
Healthcare professional perspective
In this activity Lisa will investigate AI solutions from the healthcare professional’s perspective.
Patient perspective
In this activity we examine AI solutions from the patient’s perspective.
Making a choice
In this activity Lisa explains the reasoning behind the choice for the best AI solution for her department.
Concluding Week 4
We round up Week 4 and the course.
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