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EHR-to-EDC Data Streaming

Bridging the Gap Between Patient Care and Clinical Research

LEADER IN INTEROPERABILITY

EHR-to-EDC Data Streaming YonaLink

Yonalink provides the missing link in clinical trials with technology that is purpose-built to stream and map up-to-date data, securely automating the transfer of patient data from EHRs to EDCs. 

Our SaaS solution is bringing new levels of speed, quality, and efficiency to clinical trial operations across the globe, simplifying the complexity of clinical data collection and validation, and enabling true scalability. 

Discover the Yonalink difference!

Our Solutions

All-In-One Solution

Combines a state-of-the-art EDC with eSource functions and the power of data streaming bringing new levels of speed, quality, and efficiency to clinical trial operations, simplifying the complexity of clinical data collection and validation

EHR-to-EDC Data Streaming

Securely transfers high-quality data from any EHR platform and populates it within YonaLink’s next generation EDC or other data capture systems in real time

Next Generation EDC

Easy, "do-it-yourself" EDC with seamless protocol setup and amendments, advanced edit checks, randomization, medical imaging, data blinding management and more

Global Interoperability

Equips research teams around the world with the ability to extract up-to-date data from any EHR and stream it into an EDC system, breaking down silos between patients, study sites, sponsors & CROs

eConsent &
eSource Enabled

Without coding changes, any modern eSource (ePRO/eCOA) tool can be seamlessly integrated into YonaLink’s next-generation EDC also featuring built-in eConsent

Hybrid & Decentralized Clinical Trials

Agnostic up-and-downstream system automatically transfers and maps data from any EHR to any EDC facilitating the addition of remote and international sites to your research

Leverage YonaLink to Your Advantage

Why Yonalink?

An open integration system, Yonalink’s next generation EDC simplifies workflows, reduces site burden, and maximizes the value of clinical data streamed from different sources.

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