AI and its Applications in Healthcare and Nursing
PROGRAMME OVERVIEW
What is AI and why is it important in Healthcare and Nursing?
AI approaches are increasingly emerging as a key technological enabler in healthcare. Transformational uses of AI have been applied across the entire healthcare spectrum from medical operations, diagnostics, prognosis, through treatment and research. These approaches have had a direct impact on the delivery of healthcare and patient outcomes.
The Nursing profession plays a crucial role in the adoption of AI platforms and technologies. From identifying opportunities, ensuring adoption, providing front-line feedback, nursing plays a vital role in impactful AI. Understanding the strengths (and limitations) of AI empowers the next generation of Nursing professionals to maximize the use of AI and ensure the best treatments and outcomes for the patients under their care.
LEARNING OBJECTIVES
Over the course of these lectures, participants will gain an understanding of what AI actually is and the basic principles behind it. From these fundamentals, they will then be provided with an overview of the current AI in healthcare landscape, the major domains where AI is being applied, and finally a workable approach to drive the AI application and adoption in the workplace.
HOW THEY BENEFIT
With an understanding of AI and its application, participants will have the basic skills and knowledge to allow them to identify opportunities to improve the health outcomes of their patients through AI. This course will also provide participants with a solid foundation to allow them to further develop their AI skillset over the course of their training and careers.
PREREQUISITES
This course is targeted towards those who intend to follow a career in nursing or related disciplines. There are no prerequisites for this course as the material will cover the basics of AI through to advanced applications in Healthcare and Nursing.
The course will be delivered through English.
PROGRAMME CONTENT
• Introduction to AI
• AI principles
• Overview of AI in healthcare and nursing
• Applications of AI in healthcare and nursing
• Practical AI in healthcare and nursing
• Final project presentation
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Dr Peter Condron Peter Condron is a Data Science and IT leader with over 21 years’ experience in the Pharmaceutical and Biotechnology industry. An expert in the analysis and transformation of healthcare organizations, Peter has driven the creation of world-class data-driven organisations and high performing teams in large multi-national organisations such as Novartis, Eli Lilly and Merck, as well as Singaporean based research agencies (A*Star) and local startups. |
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Dr Amirhassan Monajemi Amir is a Senior Lecturer with the School of Computing, National University of Singapore (NUS). Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He has taught artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. |
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