The study — called “Evaluation of Evidence from Smart Phone Sensors and Patient-Reported Outcomes in Participants with Multiple Sclerosis,” or elevateMS — uses a mobile app built on ResearchKit, a smartphone platform that helps medical researchers gather data and enroll participants.
With the smartphone app, researchers can collect sensor-based movement data and questionnaire responses from participants without the need for clinic visits. Participants will be able to view their data on the app to learn how their trends change over time.
The goal of the study is to improve understanding of the challenges people with multiple sclerosis face on a daily basis. The researchers also hope to inform additional measures of treatment effectiveness.
“As physicians, we always want to know how our patients with MS are doing on the treatments we prescribe,” said Stanley Cohan, MD, PhD, medical director of Portland-based Providence Multiple Sclerosis Center and a scientific advisor for the study. “This data may provide researchers with new ways to look at disease progression and treatment effectiveness.”
More articles on data analytics & precision medicine:
IBM, JDRF use AI to research Type 1 diabetes onset in children
MAP Health Management taps Wolters Kluwer Health for data exchange services
NIH provides up to $14.8M for pediatric data resource center
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.