Build robust digital clinical trials with real-world data using no code
All your health information in one place
Simple and free daily symptom tracker
From ingestion and aggregation of raw data, to standardization and harmonization of disparate data types
Standardize & classify healthcare codes and concepts
Uplift & transform patient data to optimize your workflow
Compute hierarchical condition category (HCC) risk adjustment profiles
Privacy-preserving record linking across data sources and use cases
Securely match patient records in 2 simple steps
Reference guides, tutorials, and tools to develop your own participant experiences with the MyDataHelps APIs and SDKs
Reference guides, tutorials, and resources for using MyDataHelps Designer
Reference guides, tutorials, and tools for using the Orchestrate APIs
Manage your developer account and explore the Orchestrate APIs
Case studies, blogs, and white papers
Journal articles from partners leveraging CareEvolution’s platform
Webinars, conferences, and product educational resources
News articles and press releases
How we protect your data
Explore examples to get an idea of what’s possible with decentralized clinical trials and research
Collect high-quality data, fast—save your time and budget
Presentation
Video
CareEvolution's Danielle Valcourt, PhD and Katie Baca-Motes, MBA hosted the discussion "Achieving Patient-Centricity Through Modular Digital Clinical Research Tools" as part of Decentralized Clinical Trials Digital Week…
MyDataHelps How-To
In this live session, you will learn how to utilize MyDataHelps schedules to automatically send surveys to participants, deliver notifications and update custom fields, and maximize study function with each schedule type.
On-Demand Webinars
With the growing adoption of virtual and hybrid clinical research models, incorporating novel, real-world, participant-friendly…
A common struggle with survey design in clinical research is balancing participant burden with collecting scientifically rigorous data.
Commercially available devices (such as Fitbit, Apple Watch, and Garmin) hold great promise for capturing real-world data for participants in research studies.
