This new sub-theme will test devices and develop digital tools for more effective and efficient translation of stratified or personalised medicine into practice, including the role of wearable sensors in people with long term conditions (LTCs) (Farmer, McManus). We have developed novel IT-enabled models of care delivery (Rahimi, MacMahon) for better management of single chronic diseases and medical psychiatry comorbidity in medical wards (Sharpe). We will start with assessment and management of concordant co-morbidities among patients with heart failure, including co-management of elevated blood pressure, atrial fibrillation and ischaemic heart disease. In the next step we move on to management of more complex common conditions such as diabetes and chronic obstructive pulmonary disease (COPD). In parallel, we will investigate the psychological well-being of patients and how conditions such as depression and anxiety could be better managed with use of communication technologies.
This programme will mainly explore Objectives 3 and 4 of the Multi-Morbidity and Long-Term Conditions Theme but will also link with BRC Cardiovascular (Casadei), Obesity (Jebb), and Technology and Digital Health (Tarrasenko) Themes on cross-cutting projects on Atrial Fibrillation Screening (aetiology for 30% of all strokes and more severe strokes) and interventions to reduce impact and healthcare utilisation costs of AF (atrial fibrillation, abnormal heart rhythm).
To evaluate the impact of such data-driven approaches on patient care, we will design and evaluate IT-enabled models of care delivery for better management of complex chronic conditions. In the first project, self-monitoring data will be collected by heart failure patients and merged with information from their health records to develop risk prediction algorithms. This information will be shared with users to guide decision making on management of heart failure and major co-morbidities such as elevated blood pressure, atrial fibrillation, ischaemic heart disease and depression.
Professor Kazem Rahimi, Professor Richard Hobbs