This course aims to provide healthcare students and professionals with a solid foundation of how generative AI is used in their sector adopting a balanced discourse of information. This will be achieved by using case studies that will analyse the current landscape of AI in different fields such as Higher Education, NHS, Public Health and Clinical Research. These case studies will be complemented by bioethics, confidentiality and humanistic perspectives of this technology. For a comprehensive, but yet concise, overview of the topic learners will also delve into the historical perspectives of AI. The course will conclude with final reflective thoughts on what the future might hold for healthcare in terms of utilising responsibly generative AI.
Recommended experience
What you'll learn
Explore real world clinical case studies of AI.
Discuss responsible and ethical use of generative AI in healthcare.
Skills you'll gain
Details to know
Add to your LinkedIn profile
September 2024
6 assignments
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
This week, we'll introduce the course, explore generative AI’s historical and emerging role in healthcare, and delve into AI and VR applications in medical imaging. We'll also discuss professional integrity, focusing on human oversight, and the impact of AI in academic and professional environments.
What's included
2 videos8 readings2 assignments1 discussion prompt
This week, we'll explore prompt engineering in AI for coding applications and develop an AI-generated application. We'll delve into generative AI's role in dental smile analysis, covering techniques like data augmentation and CNNs. We'll also learn about a multi-channel prediction model for pressure injuries in hospitalised patients. Lastly, we'll examine the ethical and humanistic aspects of AI in surgical training.
What's included
10 videos10 readings2 assignments1 discussion prompt
This week, we’ll explore AI’s role in supporting COPD care pathways, considering both design and patient perspectives. We’ll delve into AI’s application in Scotland’s health and social care system, focusing on discrete event simulation and Bayesian methods. We’ll also learn about AI’s use in radiology for screening and diagnosis. Lastly, we’ll examine responsible AI use in research, emphasising accountability, authenticity, curiosity, and legacy, with a focus on ethical reflections and broader social implications.
What's included
3 videos8 readings2 assignments4 discussion prompts
Offered by
Recommended if you're interested in Health Informatics
Amazon Web Services
Vanderbilt University
Fractal Analytics
Coursera Instructor Network
Why people choose Coursera for their career
New to Health Informatics? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.