PRADA study

Funded Solo Fellowship project

PRADA Study: Predicting Rheumatoid Arthritis Disease Activity Study

Solo Fellow

Dr Philip Hamann

Project core team

Professor Seth Bullock
Professor Emma Clark
Leo Gorman
Chris Robson

Hub Research theme

Service and resource planning

North Bristol NHS Trust logo
Living With logo
AI for Collective Intelligence logo
University of Bristol logo
Jean Golding Institute

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.