你将学到什么
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
课程概况
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.
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.
课程大纲
Introduction to the wider context of the challenges and opportunities impacting on Healthcare as outlined in the Topol Report
New and upcoming technological developments and their ethical, social, and legal implications
Wider patient pathway focusing on specific cases and datasets from different areas such as Nursing, Radiography and Deep Learning /Cancer
Challenges of governance, ‘team science’ and interdisciplinary working, data quality in the NHS
Practice-based case studies illustrating where the skills gaps have been addressed
Practical and practice-based CPD activities
面向人群
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.
