Lay summary
Heart failure (HF) is a chronic, complex condition. The information needed to manage HF comes from multiple sources, including a person’s heart scans, lab results, hospitalisation discharge summary and clinic letters. An automated individual patient management support tool that accesses the pieces of clinical information, summarises and then interprets them with consideration to current clinical guidelines, will reduce the time the healthcare team spend hunting down that information before seeing a patient with HF and will standardise the breadth and quality of information used to make treatment decisions. Before developing a tool, this project seeks to investigate how an AI-derived management support tool for HF will work in practice. We will do that by working with the multidisciplinary healthcare team to develop the model of care in which this tool can best operate, and investigating the technical requirements for it to work reliably within the secure digital health systems.