CareEvolution
Health data integration and clinical trial infrastructure for research, public health, and healthcare innovation.
Overview
CareEvolution develops a digital ecosystem of data products and APIs serving patients, payers, providers, researchers, public health agencies, and healthcare organizations of all sizes. The company's technology is used to improve the lives of over 200 million people worldwide by connecting, cleansing, and combining health data that exists across disparate systems — including wearables, clinical records, claims, and laboratory results — to support research, care delivery, and population health analytics.
CareEvolution's core philosophy is that health data already exists in abundance but remains trapped in disconnected systems. Its tools are designed to surface and combine that data for researchers, clinicians, and innovators building new approaches to care, without requiring a wholesale replacement of existing infrastructure.
Signature Products
- Discover™ — A platform for conducting participant-centric digital clinical trials, designed to reduce the time required to design and launch studies.
- Orchestrate™ — A suite of products focused on unlocking health data to build lifetime patient records, with tools for data conversion, terminology translation, and enrichment.
- MyDataHelps™ — A no-code digital research platform that enables researchers to design and launch clinical trials or research studies quickly, recruit participants broadly, collect wearable and sensor data, deliver test kits for biomarker collection, and gather participant EHR and claims data. All participant data is managed in a single interoperable, FISMA-compliant location.
- Identity — A privacy-preserving record linkage product that links an individual's records from disparate sources using only hashed data, meaning personally identifiable information never leaves the source system. It is designed for high specificity and reliability in building lifetime person records.
Core Capabilities
- Conversion among health data formats including HL7, C-CDA, and FHIR.
- Translation of clinical terms — including free-text and unstructured data — to industry-standard code systems such as ICD-10-CM, SNOMED, LOINC, RxNorm, and NDC.
- Data enrichment with risk stratification, condition profiles, and gaps-in-care insights.
- Wearable and sensor data collection and integration within research studies.
- Biofeedback alerts and smart notifications for participant engagement in studies.
- Privacy-preserving record linkage operating exclusively on hashed data.
Scale and Performance
- Over 2 million research and public health participants supported through MyDataHelps™.
- More than 200,000 wearables and devices connected via the platform.
- Over 55,000 EHRs connected for research participants.
- Over 200 million patient records processed through the Identity product, with 99.9% specificity.
- Orchestrate™ has achieved code uplift in 95% of processed files, with an average increase of over 40% in standardized codes.
Notable Customers and Use Cases
- MyDataHelps™ has been used in high-profile studies including the NIH All of Us research program and the Scripps PROGRESS study.
- Trinity Health has worked with CareEvolution to enable people-centered care by connecting patients with care providers at their convenience.
- The company's technology has been applied in life insurance underwriting, using real-time health, wearable, and claims data.
- Identity is trusted by leading healthcare organizations for building reliable lifetime person records.
Compliance and Deployment
- MyDataHelps™ is FISMA-compliant, supporting secure management of participant data.
- The Identity product is designed so that personally identifiable information never leaves the customer's system, as it operates solely on hashed data.
- CareEvolution provides APIs and documentation, with trial access available for its core products.
CareEvolution serves a broad range of sectors including clinical research, public health, payviders, and life insurance, positioning its modular and interoperable data products as tools for improving existing health data infrastructure rather than replacing it.