This course will be delivered by the University of York and NHS England. It aims to give those working in Health IT and clinical risk management an understanding of AI within a Healthcare setting.
The next course at the University of York is tbc. Full venue details will be sent out nearer the course date.
Please note that this is an in-person course only. It is not possible to attend remotely.
Places will be limited to 20 delegates so please register your early interest in this course with the Digital Clinical Informatics Safety Team by contacting [email protected]. All places are allocated on a first come, first served basis.
Example agenda
10.00 – 11.00 Block A: Introduction to challenges of AI in health and social care
Introduction to Safe Artificial Intelligence and Autonomy
Q&A and Scenario discussion (radiologist)
11.10 to 13.00 - Block B: Introduction to ML in a clinical setting
Fundamentals of Machine Learning (ML) - Q&A
Applications of ML - Q&A
Retinal Example of Using ML in health care – Q & A and Discussions
13.30 to 15.00 Block C: Safety assurance of ML in a clinical setting
Assurance of Machine Learning in Autonomous Systems (AMLAS) & ML Safety Case - Q&A
ML safety requirements & data management - Q&A
ML training and verification - Q & A and Discussions
15.10 to 16.00 Block D: Safety Cases for ML in a clinical setting
A certificate will be issued on completion of the course.
Cost: £300 (VAT will be applied for non-NHS organisations). If you are paying by purchase order (PO) document, please note that all purchase orders should be raised to NHS England. We recommend paying by card where possible to finalise the booking immediately and to avoid having to wait for an invoice to be sent to you.
Book a place on the Assuring AI in Healthcare course