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“Artificial intelligence has the potential to revolutionise care for patients.”
Brhmie Balaram, Head of AI Research and Ethics at the NHS AI Lab
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.
“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 Engand, March 2024
“We are now seeing the NHS and its partners across the country able to use tools and techniques like AI and a population health management approach to identify people at highest risk of admission and support them before they need hospital treatment. We’re increasingly able to find those individuals early and offer targeted, preventative and personalised healthcare.”
Matt Neligan, Director of System Transformation for NHS England, 2023
“NHS staff will be given the latest artificial intelligence (AI) technology to diagnose and treat patients more quickly thanks to a new £21 million fund announced by the Health and Social Care Secretary today. NHS Trusts will be able to apply to the AI Diagnostic Fund to accelerate the deployment of the most promising AI imaging and decision support tools to help diagnose patients more quickly for conditions such as cancers, strokes and heart conditions.”
Department of Health and Social Care, June 2023
“We currently have over 86 live AI projects through multiple guises, from traditional, interesting innovations that need to be tested, right through to those that have got medical-device clearance and need further support. Generating the evidence that the product is efficacious so it can be used in a clinical setting.”
Dominic Cushnan, Director of AI, Imaging and Deployment for NHS England, July 2023
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