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“AI is not an off-the-shelf solution to healthcare’s problems and needs to be carefully evaluated before and as it is deployed. AI solutions are likely to depend on well-functioning health systems rather than replacing the need for them. Similarly, automation of processes within primary care and integration of new digital tools with existing systems will be essential for AI to bring the promised efficiency gains needed for users to adopt them.”
Artificial intelligence and machine learning, NHS England, March 2024
The conference will support you to practically implement AI to improve your practice. The event will have a particular focus on training, educating and engaging frontline staff to use AI as part of decision making and clinical reasoning following the NHS Transformation Directorate for Artificial Intelligence. The conference will also support you to demystify AI and reflect through case examples how practical available AI tools such as ChatGPT can be used to improve your productivity, decision making and effectiveness.
“Interest in the use of artificial intelligence in healthcare is growing rapidly, but if it is to be accepted, and its benefits fully realised, it must command the confidence of patients, the public and NHS staff.”
The Health Foundation, July 2024
“Over the past few years, NHS England has implemented a rapid national rollout of AI, as part of a national optimal stroke imaging pathway, to stroke services across England. Starting with just a handful of units in 2019, as of Summer 2024, every stroke centre in England (107 sites in total) is now utilising the technology meaning AI is already playing an important role in improving the care of around 80,000 people who have a stroke in England every year.”
NHS England, September 2024
This conference will enable you to:
Network with colleagues who are interested in the practical application of AI to diagnosis, clinical decision support and better patient treatment and outcomes
Learn from outstanding practice from case studies where AI is already being used to improve patient care
Reflect on national developments and learning
Understand the challenges you will face and identify solutions to ethical, legal, and clinical engagement issues
Develop your skills in educating, training and engaging frontline staff in AI
Understand how you can accelerate the use of AI in clinical practice to improve productivity and patient care
Learn from case studies in medical imaging and scanning, diagnosis, clinical decision support, predicting length of stay, improving patient flow, predicting likely tests and address racial and ethical health inequalities
Identify key strategies for understanding decision making when using AI, and ensuring trust in decision support
Ensure you are up to date with the latest technological developments
Self assess and reflect on your own practice
Supports CPD professional development and acts as revalidation evidence. This course provides 5 Hrs training for CPD subject to peer group approval for revalidation purposes
