Prabha Vijayakumar is the Chief Allied Health Professions Information Officer at NHS England and a registered Occupational Therapist, with over 25 years of senior leadership experience across clinical practice, system leadership, and national digital transformation. She is widely recognised for her work at the intersection of clinical insight, digital innovation, artificial intelligence, and health equity, and for championing the role of Allied Health Professions (AHPs) in shaping the future of healthcare. In her national inaugural role, Prabha provides strategic leadership for AHP digital and informatics transformation, ensuring AHP voices are embedded within mainstream clinical informatics and AI-enabled programmes. She led the first national Allied Health Professions Digital Maturity Assessment, establishing a post-pandemic, England-wide baseline of digital capability, aligned to the NHS Long Term Workforce Plan and the three strategic shifts, and highlighting key gaps in capability, leadership, investment, and representation.

Digital technologies and AI are already transforming the job market and the way we work – and healthcare is no exception. The National Health Service (NHS) must keep pace with these changes and continue adapting to emerging technologies. This session will provide a national perspective on the current state of digital implementation across the NHS, covering the use of digital data and AI tools, key legal considerations, and the growing importance of digital maturity and literacy among Allied Health Professionals (AHPs). 

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• The current landscape of digital implementation across the NHS, including the use of digital data and AI tools  
• The importance of digital maturity and digital literacy for AHPs across the NHS 

BE AWARE OF:

• The key legal, ethical, and governance considerations surrounding the use of digital data and AI within the NHS 
• The national priorities and strategic direction for digital transformation in the NHS  

BE ABLE TO:

• Identify ways digital tools and AI can support clinical practice, service delivery, and patient care 
• Reflect on personal and professional digital literacy needs within the context of evolving healthcare technologies

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• Definitions of artificial intelligence and its key subsets, including machine learning, deep learning, and generative AI

BE AWARE OF:

• Differences between AI and other digital health technologies
• Evidence for AI in nutrition and dietetics practice
• Risks and concerns of AI

BE ABLE TO:

• Define AI and its key subsets
• Apply AI concepts to nutrition and dietetics
• Apply risks and concerns of AI to nutrition and dietetics

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• The concept and expanding scope of digital food environments
• Examples of features that have the potential to influence consumer food choices
• The emerging role of nutrition policy in digital settings to enable healthier and more sustainable food choices

BE AWARE OF:

• Emerging challenges and gaps in nutrition policy and regulation within digital food environments
• Opportunities and risks associated with digital technologies for population health
• The range of stakeholders involved in digital food environments

BE ABLE TO:

• Identify digital food environments and influential features that may influence consumer choice
• Discuss the implications of digital food environments for nutrition policy, research and practice
• Critically reflect on how digitalisation may shape future approaches to healthier and more sustainable diets

Danielle is a Registered Nutritionist with a PhD in Diet & metabolic health. She has experience spanning academia, food retail, manufacture, pharma and digital health. She has led large-scale health strategy development and delivery, innovation and research programmes across sectors, and currently serves as Chief Health Officer at Spoon Guru, Co-Founder and Director at Nutrition Talent and is an Honorary Professor of Practice at Queen’s University Belfast.

Algorithms and artificial intelligence (AI) are increasingly being embedded across a rapidly developing digital landscape with integration increasing across food and health systems. This offers potential to transform how nutrition knowledge is generated, analysed and applied. This presentation will provide an on update on critical considerations in this rapidly evolving landscape. It will introduce the concept of nutrition intelligence, using applied examples of current and emerging practice and consider the opportunities and challenges these changes represent.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• Current and emerging applications of AI in nutrition and the food system

BE AWARE OF:

• The concept of nutrition intelligence

BE ABLE TO:

• Define the concept of nutritional intelligence (NI)
• Reflect on role and implication of NI for nutrition professionals

This session will explore how AI is already being used within health-promoting apps, sharing the functionalities, innovations in practice, effectiveness and also some of the limitations it poses.

Attendees will come away from the session with a clearer understanding of how AI-powered apps can improve lifestyle behaviors, patient engagement, and support better health outcomes in practice.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• How AI-powered health and nutrition apps currently work in practice
• The role of AI in behaviour change, personalisation, and patient engagement
• Opportunities and challenges of integrating AI into health and nutrition apps

BE AWARE OF:

• Ethical, safety, and data privacy considerations surrounding AI in healthcare
• The limitations and potential risks of AI-generated health advice
• Emerging trends shaping the future of digital health and nutrition care

BE ABLE TO:

• Recall uses of AI in health and nutrition apps
• Identify where AI tools may enhance patient support and outcomes
• Apply practical insights from digital health innovation to their own professional practice

Juliet Finnie is a Registered Dietitian with 15+ years of clinical experience across the NHS and Oviva. As Oviva’s Clinical Expert for both the specialist weight management pathway and the AI companion development she works to enhance patient outcomes and make high-quality care accessible to all.

How can AI tools be used to enhance patient engagement, retention and clinical outcomes? We’ll explore how to do this in a way that enhances and augments the skills of a nutrition team rather than replacing valuable clinical resources. We’ll consider how clinical teams and AI can work together to create a seamless patient journey.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• How AI tools can support patients ‘in the moment’ between clinical contacts and optimise engagement and retention
• How clinical teams can work together with AI tools to collaboratively support and engage with patient

BE AWARE OF:

• A variety of ways in which AI tools can engage with patients
• The potential risks associated with AI overlap with clinical work
• Opportunities to augment clinical practice via AI

BE ABLE TO:

• See relevant use cases for AI and clinical team collaboration
• Plan how to measure clinical outcomes associated with AI tool use

Professor Anastasia Z. Kalea graduated with a BSc in Human Nutrition and Dietetics from Harokopio University, Greece. She worked as a dietitian and then followed her interest in biomedical research in the USA, where she completed her doctorate studies on the effect of nutrients on vascular structure and function at the University of Maine. More recently, she has co-authored a novel Diet-Nutrition Misinformation Risk Assessment Tool (Diet-MisRAT) identifying diet and nutrition misinformation online and evaluating the content’s risk for potential harm.

This session explores how AI can be used to detect and assess harmful nutrition misinformation online. Focusing on UCL’s Diet-Nutrition Misinformation Risk Assessment Tool (Diet-MisRAT), the talk will demonstrate how AI can move beyond simple fact-checking to evaluate the potential real-world harm of misleading nutrition advice. It will also discuss opportunities, ethical considerations, and the future role of AI in creating safer digital health information environments.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• How AI can be applied to detect and assess nutrition misinformation online
• The purpose and functionality of UCL’s Diet-Nutrition Misinformation Risk Assessment Tool (Diet-MisRAT)
•  

BE AWARE OF:

• The potential real-world harms associated with misleading nutrition information online
• The ethical considerations and challenges involved in using AI for health misinformation assessmenton of weight regai

BE ABLE TO:

• Explain how AI can move beyond traditional fact-checking to evaluate misinformation risk and harm
• Identify future opportunities for AI to support safer digital health information environments

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• Why embedding AI and digital tools into nutrition and dietetic education is essential for preparing students and trainees for the evolving demands of modern clinical practice.

BE AWARE OF:

• How AI-powered simulation can provide safe, consistent, and scalable learning experiences that complement (not replace) existing education and training provision.

BE ABLE TO:

• To be able to identify practical ways to incorporate AI and digital tools into teaching and training, drawing on real-world examples from dietetic education and practice.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

• hat a GenAI prompt is and why structure matters for output quality and safety.
• Core elements of stronger prompts and review criteria.
• How AI is beginning to influence dietetic roles across communication, education, management, leadership, research and client/community support.

BE AWARE OF:

• Common risks in GenAI outputs.
• Why tool choice, data control, human review and professional accountability matter.
• The limits of AI-generated content when clinical reasoning, ethical judgment, cultural relevance or individualized care are required.

BE ABLE TO:

• Improve a weak prompt by adding clearer instructions, context, boundaries and review criteria.
• Apply a practical guide when using and discussing AI with oneself, patients, clients, colleagues, and communities.
• Discuss the focuses of the RD in the age of AI, across comms, management, leadership, and research.