Predicting Rheumatoid Arthritis Disease Activity - PRADA Study

  • Research type

    Research Study

  • Full title

    Predicting Rheumatoid Arthritis Disease Activity (PRADA) Study

  • IRAS ID

    358551

  • Contact name

    Philip Hamann

  • Contact email

    philip.hamann@nbt.nhs.uk

  • Sponsor organisation

    Research and Innovation, North Bristol NHS Trust

  • Clinicaltrials.gov Identifier

    318655, Original Ethical Approval

  • Duration of Study in the UK

    0 years, 10 months, 26 days

  • Research summary

    This project aims to develop an artificial intelligence (AI) tool that uses these ePROM data to predict when patients with arthritis need to see their rheumatology doctor for follow-up appointments.

    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.

    Since 2018, North Bristol NHS Trust has used an app to track patient reported disease activity in RMDs using electronic patient reported outcome measures (ePROMs). These ePROMs give a reliable indicator about how active a patient’s arthritis is at that time and has enabled healthcare professionals at NBT to offer more remote appointments to patients and avoiding unnecessary trips to hospital. Over the past six years, over 1500 patients have downloaded the app and >60,000 ePROMs have been collected.

    This project will use these existing anonymised ePROM data, collected as part of routine clinical care, to develop an AI tool that will predict likely future outcome scores. This prediction tool will enable health professionals to accurately triage a patient’s individual need for, and timing of, future appointments and make sure scarce clinical time is allocated to those patients most in need.

  • REC name

    West of Scotland REC 5

  • REC reference

    25/WS/0179

  • Date of REC Opinion

    13 Nov 2025

  • REC opinion

    Favourable Opinion