Real-world health data, directly from people
See health as it happens, between clinic visits
5.6M members · 97% of U.S. ZIP codes · 140+ studies · 100+ publications
Evidation connects directly with consented people to capture wearable, survey, and clinical data over time, and turns it into AI-ready cohorts, evidence, and insights.
Claims and EHRs capture the visit. We capture what happens in between.
Clinical records show the doctor's office. They miss how people sleep, move, feel, and manage treatment the rest of the year. We capture those signals directly from consenting people, over time.
*Available for members who choose to connect their health records or provide biosamples.
Answer the questions that matter across the product lifecycle
From discovery to launch, our data and studies answer questions that claims and EHRs can't.
R&D, data science & digital health
Discovery, Translational Research & AI
Measure subtle changes in disease progression with time-aligned wearable, survey, and clinical data, and build AI-ready datasets for phenotyping, digital endpoint development, and model development.
RWE, HEOR & medical affairs
Evidence Generation & Medical Value
Generate fit-for-purpose, patient-centered evidence on outcomes, burden, quality of life, healthcare resource use, and persistence to support comparative effectiveness research, HEOR, and publications.
Brand, insights & market access
Commercial Planning & Market Strategy
Understand unmet need, treatment journeys, switching, and decision drivers to inform segmentation, positioning, and launch strategy.
Longitudinal cohorts across key conditions
VACCINES & INFECTIOUS DISEASEFlu and respiratory illness, symptom follow-up, and vaccination journeys
5.6 million people, directly connected
Members choose what to share, with whom, and for how long, and get value back: personal health insights and rewards when a study is funded. Because they stay engaged, you can follow and recontact the same people as their health changes.
- 5.6 million members across 97% of U.S. ZIP codes
- More than 1 million members have participated in research
- 100+ conditions represented; 20+ dedicated longitudinal cohorts
- Engaged and recontactable: in many recent programs, 90%+ of enrolled participants completed scheduled study activities
- Privacy-first and consent-based: members choose what to share, with whom, and for how long
How a program runs
Governance built into every step
Consent
Members opt in to each program, choose what to share, and can withdraw at any time.
De-identification
Datasets are de-identified before delivery, matched to each study's privacy requirements.
Linkage
With permission, wearable and survey data link to EHR, claims, lab, and biosample data.
Provenance
Source, device, and date metadata make every analysis traceable and reproducible.
Data & AI rights
Licenses define permitted uses, including analytics, publication, and AI model training.
21 CFR Part 11-compliant systems · HIPAA, GDPR, and CCPA/CPRA privacy compliance · ISO/IEC 27001:2022 and Cyber Essentials Plus certified security
AI built on everyday health signals
Our research team trains models on longitudinal wearable, survey, and clinical data to estimate risk across dozens of conditions, flag changes that may signal a flare-up, and find people who could benefit from screening or research. We validate every model against how it will actually be used, and we report what it can't do as clearly as what it can.
Proven at scale since 2012
Life sciences companies, government agencies, and academic researchers rely on Evidation to recruit, measure, and publish.
Inside selected studies
Respiratory · Recruitment
14K
people with asthma recruited in one week for a top pharma company
Question
Can a large, well-characterized asthma cohort be assembled fast enough to keep a research program on schedule?
Population
U.S. adults in the Evidation Community who self-reported a diagnosis of asthma
Design
Targeted in-app outreach, digital eligibility screening, and eConsent
Data
Screening survey, symptom-control questionnaire, and connected wearable data where shared
Outcome
About 14,000 eligible, consented participants enrolled within one week
Neurology · Digital measures
16TB
of multimodal data in 12 weeks to find digital signals of cognitive decline, with Lilly
Question
Can everyday consumer devices distinguish people with cognitive impairment from healthy controls?
Population
113 adults: 31 with mild cognitive impairment or mild Alzheimer's dementia, 82 healthy controls
Design
12-week prospective, observational feasibility study
Data
Smartphone, smartwatch, tablet, and sleep-sensor signals, plus app-based tasks and surveys
Outcome
Digital features that differed between groups; peer-reviewed publication (KDD 2019)
Vaccines · Type 2 diabetes · Activation
2×
higher flu vaccination with a Sanofi program for people with type 2 diabetes
Question
Can personalized digital education increase flu vaccination among people with type 2 diabetes?
Population
Evidation members who self-reported type 2 diabetes
Design
Randomized, controlled digital-intervention study during flu season
Data
In-app content engagement, self-reported vaccination, and follow-up surveys
Outcome
About twice the vaccination rate in the intervention group vs. control
Study summaries are simplified for illustration. Contact us for full protocols, methods, and publications.
EXPLORE CASE STUDIES & PUBLICATIONSWhat questions are you looking to answer?
Tell us the question you need to answer. Our scientists will show you which cohorts, data types, and study designs can get you there, and how quickly.