P27 The role of AI tools in supporting cardiovascular lifestyle behaviour change

Abstract

<h3>Background</h3> Cardiovascular disease (CVD) remains a leading cause of death globally, primarily driven by modifiable lifestyle risk factors. Artificial Intelligence (AI) tools, such as chatbots and virtual assistants, offer a promising approach to improve patient education and self-management. However, their role in CVD prevention and lifestyle behaviour change underexplored. <h3>Aim</h3> To explore the potential of AI tools in promoting lifestyle behaviour change and mental health among individuals with CVD, and to understand nurses’ perspectives on their integration into care pathways. <h3>Methods</h3> Following the Appreciative Inquiry 4D Cycle, this study represents the 1^st Phase (Discovery) of a proposed larger project and consists of two components (figure 1): 1. A scoping review (currently underway) conducted using Joanna Briggs Institute methodology to systematically map existing literature on the use of AI tools for CVD-related lifestyle behaviour change. The review will explore types of AI tools, behavioural outcomes, evaluation methods, evidence gaps, and directions for future research. 2. A qualitative study involving semi-structured interviews with 30 nurses (in training and practice), recruited via universities and professional networks in the United Kingdom (UK). Using the RE-AIM framework, interviews will explore experiences, expectations, and perceived barriers and facilitators to AI adoption in CVD care. Data will be analysed thematically using NVivo. <h3>Results</h3> The study will summarise the current evidence base and identify key gaps, particularly related to the real-world usability and implementation challenges of AI tools in supporting lifestyle change for CVD. Findings will inform subsequent phases of research, including the co-design and testing of an AI prototype for CVD lifestyle modification. <h3>Conclusion</h3> This study will generate foundational insights into the role of AI in cardiovascular risk management and inform the development of a personalised AI tool. Findings from the scoping review and qualitative study will be presented at the conference.

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