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
Collect real-world, novel participant data through wearable devices.
Digital biomarkers collected from commercially available wearable devices, including heart rate, physical activity, and sleep data, are important indicators of disease status and overall health.
These data can add significant value to digital clinical trials and research by contributing to a more real time understanding of the participant’s condition or their digital phenotype. When these digital phenotypes are available through digital clinical trial and research platforms, studies can track changes on a daily basis.
Easily detect daily changes in participant health status as they go about their normal lives.
30% of Americans already use wearable technology. This familiarity with wearables not only reduces costs required for device distribution using a bring-your-own-device (BYOD) model, but it also increases participant compliance.
Digital phenotypes and digital endpoints derived from wearable devices provide the ability to execute research projects around previously untestable hypotheses.
The Scripps Research Digital Trials Center’s PRediction Of Glycemic RESponse Study (PROGRESS) uses the MyDataHelps™ platform to understand metabolic health and diseases like type 2 diabetes. As part of the study, participants connect wearable devices—Fitbit and Dexcom G6 continuous glucose monitor—to MyDataHelps™ for a 10-day study period. The data collected through these devices are continuously integrated with survey data within the MyDataHelps™ app and the information is returned to participants through a personalized dashboard.
MyDataHelps™ easily connects to Fitbit and any device compatible with Apple Health and Google Fit (e.g., Omron blood pressure cuffs, Withings scales).
Participants can choose what data to share with a study through an easy-to-use interface.
Device connection can be enabled quickly through checkboxes within project settings, and participants can allow a study access to their data in just minutes.
MyDataHelps™ is a digital clinical trial and research platform, powered by CareEvolution. Select the data and modules you need to quickly launch your next clinical trial or research project, hybrid or decentralized, with no coding required.
