Clinical Research

Identify technologies for measuring digital endpoints
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Mark is responsible for strategy and planning of digital health solutions for Janssen R&D. He needs to facilitate multiple clinical study teams across therapeutic areas deciding what endpoints make the most sense to collect digitally and conduct a risk-benefit assessment of technologies.

Problem
Problem

The 3 step process sets the foundations for clinical study teams to hone in on digital clinical measures to detect meaningful change and framework for tech evaluations. It’s updating daily with new literature and technologies

The Atlas' Role
Atlas' Role
How Atlas Helps
Use our platform for better, evidence based decision making around digital endpoints and fit for purpose measure and technologies for your study
Example of timeline in our product
Follow the Timeline
Turn a complex process into simple steps for identifying your fit-for-purpose connected sensors given your measurement priorities and study population
Evaluate evidence
Use easy to navigate reports synthesizing evidence on measures including prior clinical studies
Example of collaboration in our platform
Filter and Save
Collaborate with colleagues to filter by key metrics and identify fit-for-purpose sensors
Example of connected sensors within our platform.
Example of comparing connected sensors within our platform.
Compare with confidence
Compare attributes and information across sensors to create a tool-set appropriate for your needs
“Very impressed to see such good information so quickly. What you guys are doing is a lot more rigorous than what I did. Can’t thank you enough!”
Marc Alary
Head of R&D Engineering, J&J
Atlas helps you capture clinical measures digitally
Get more details on using Atlas to evaluate fit-for-purpose remote monitoring technologies across clinical research, clinical care, and public health.
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