PRADA study
Funded Solo Fellowship projectPRADA Study: Predicting Rheumatoid Arthritis Disease Activity Study
Solo Fellow
Project core team
Professor Seth Bullock
Professor Emma Clark
Leo Gorman
Chris Robson
Hub Research theme
Service and resource planning
Background
Rheumatic and musculoskeletal disorders (RMDs), affect 1-2% of people and cause joint pain and stiffness. These conditions can get better or worse over time. Currently, patients have regular hospital check-ups, but scheduling is often at the wrong time. Some patients are seen when their condition is stable, while others might wait too long when their condition worsens, due to busy clinics. This means patients are not receiving the best care.
Intended outcomes
Since 2018, North Bristol NHS Trust has used an app to track patient reported disease activity in RMDs. Dr Hamann’s project aims to develop an artificial intelligence (AI) tool that uses this patient reported data to predict when patients need to see a doctor.
The goal is to better manage clinic appointments, ensuring patients get timely care based on their needs, and healthcare resources are used most efficiently.