Human Agency & Leveraging Technology (HALT) to prevent diabetes complications

Preventing and delaying diabetes complications require tight glycaemic control, but current screening methods detect microvascular changes only after they have developed, limiting treatment effectiveness.

Emerging Artificial Intelligence (AI) in healthcare holds promise for transforming diabetes care by enabling early detection of complication risks before symptoms appear.

Effective management depends on providing precise, actionable information that empowers individuals with diabetes to make informed decisions. Therefore, bridging the gap between technology, human understanding, and emotional well-being is essential.

This research program will assess the impact of current screening methods on individuals with diabetes, evaluate perceptions of AI in healthcare, and explore strategies to build trust and understanding in AI risk prediction.

Using a mixed-methods approach, including questionnaires, voice notes, interviews, and focus groups, the study will gather comprehensive insights.

The results will inform recommendations developed in collaboration with a consensus panel of people with diabetes and healthcare professionals.

The ultimate goal is to optimise the use of AI technologies to benefit both individuals living with diabetes and the healthcare system.