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
Elevate your research using a modular data platform for comprehensive analysis-ready participant data.
The ability to act on data lies at the heart of an efficient and effective research study. CareEvolution® enables researchers to elevate their studies through a modular no-code platform for cutting-edge patient engagement. While Discover utilizes customizable modules to launch any type of study, Orchestrate transforms your data to unlock a new depth of data analysis.
Supplement your health system’s EHR data with patient-mediated connections to other providers. Convert between FHIR, C-CDA, and OMOP to make your EHR data analytics-ready.
In just a few clicks, add wearable data collection to your study from Fitbit, Garmin, Dexcom, Omron, Apple Health, and Google Fit for a robust longitudinal participant record.
Eliminate spreadsheet trackers and manual calls with our participant monitoring and engagement engine with personalized reminders.
University of Michigan built the “Michigan Predictive Activity and Clinical Trajectories (MIPACT) observational research study on the MyDataHelps™ platform. Each day, participants took 2 sets of 2 blood pressures, wore their Apple Watch for 12 hours, completed 2 “Breathe” sessions, and provided electronic patient-reported outcomes (ePROs). The study enrolled 6,735 participants and resulted in 98.3% compliance for Phase 1 of the study. The robust data set, that includes electronic health records (EHR) and genetic information, will be used to understand the relationship between sensor data and different health outcomes.
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