Creagh

Pair of Digital Health Research Papers Coauthored by Analysis Group Demonstrate Promises of Wearables to Generate Reliable Site-Less Patient-Reported Outcomes in Rheumatoid Arthritis

Retrieved on: 
Tuesday, April 9, 2024
Yee, Aiden, Principal, Observational study, Scientific Reports, Apple, Rheumatoid arthritis, Digital, University, GSK, Bias, Patient, PRO, Research, Nature, Hamy, Analysis Group, Apple Watch, Creagh, Pain, Machine learning, Fatigue

This technology enables clinicians to develop more sensitive and patient-centric endpoints in RA clinical trials and real-world studies.

Key Points: 
  • This technology enables clinicians to develop more sensitive and patient-centric endpoints in RA clinical trials and real-world studies.
  • "Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis," published in February by Nature's npj Digital Medicine (Creagh, A.P., et al.
  • "Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis."
  • "Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting."