Measure

Fill gaps in understanding health in daily life

Characterize and quantify disease progression, treatment experience, and quality of life outside of clinic walls.

Shape better healthcare decisions with everyday health insights

Our direct-to-patient research and data help customers:

Better quantify health outcomes and quality of life with validated ePROs and objective digital measures

Understand treatment impact, true patient burden, and unmet needs outside of traditional care settings

Measure and identify risk with predictive algorithms for symptoms indicating possible health events and diseases

Accelerate time to insight with higher frequency decentralized studies, responsive research participants, and permissioned, retrospective data

Improve data quality with sophisticated, high retention, best-in-class engagement models and passive data collection

Build more inclusive, representative datasets with low burden methods to collect data directly from individuals

Support and activate individuals with direct, two-way communication, education, and alerts to receive care when appropriate

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Create a more complete picture of health with integrated data

Next Generation Patient Engagement & Enriched Insights

Digital measures from apps and devices and longitudinal ePROs and surveys augment EHR, claims, and other data sources to show:

Physical, physiological, functional and psychological impacts of diseases and treatments in day-to-day life

How treatments affect overall quality of life and activities of daily living

Behavioral, attitudinal, and environmental factors influencing outcomes

Barriers and unmet needs outside of the clinic symptoms, diagnosis, starting therapy and adherence

Our partnerships with Datavant, HealthVerity, and Forian enable data tokenization and linkage with a wide variety of third part ydata sources

Work with us

Exploring potential to reduce stroke risk with earlier detection of Afib

Study aims to assess whether the Heartline™ Study app on iPhone, and the ECG app and irregular rhythm notification feature on Apple Watch, can reduce the likelihood of stroke and improve health outcomes with earlier detection of atrial fibrillation.

Data sources integrated include Medicare claims, HealthKit app data, and ePRO data.

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American Life in Real-Time: Creating the first large-scale, nationally representative digital health dataset

READ

Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams

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Better Understanding of the Metamorphosis of Pregnancy (BUMP)

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Supporting conversations at the point of care with personalized health insights

50%

of first 15,000 participants downloaded personalized insights report

87%

of individuals who shared their report with their care team found it helpful or extremely helpful

READ

Rapid enrollment of representative population in COVID-19 program

100k

individuals enrolled into market research and engagement program in 5 weeks

90%+

program engagement

1.5k

of those participants recruited into real-world evidence study in 2 weeks

Large-scale influenza vaccination promotion on a mobile app platform

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Developing an early warning algorithm for individuals at high risk for COVID-19

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Recruiting a highly specific group of migraine sufferers in days

Met complex inclusion and exclusion criteria related to chronic migraine episode frequency and other key characteristics

13 days

to enroll

170

participants

Increasing treatment rates with co-created patient engagement

Type 2 diabetes flu vaccine education program enabled life sciences company to test and refine content and messaging over time.

Up to 2x

increased flu vaccination rates* for participants who engaged with customized diabetes content.

Evidence-based learnings to scale to broader vaccination programs

*Based on self-reported vaccination status

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Evidation’s health community

Faster path to data and study participants

Research ready

1.3m+

research participants

Responsive

<1 month

to fully recruit for studies**

2 weeks

to get responses for simple business questions**

Highly characterized

1.3B+

data points collected daily

97%

of U.S. zip codes represented

*Varies by population, protocol and length of program; many of our recent programs have seen 90%+ engagement
**Average estimated time for many of our projects, but times vary by population criteria and nature of the research project