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The Science 37 and BEKHealth collaboration will expand access to patients who were not able to participate in clinical trials previously. Credit: Nguyễn Hiệp on Unsplash.

Science 37 has collaborated with clinical research platform BEKHealth for expanding participant access through community providers.

The collaboration will allow Science 37 to directly access electronic medical record (EMR) data across its network of over 35 thousand community providers to find and match patients to clinical trials.

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This will expand access to patients who were not able to participate in clinical trials previously, increase participant volume, accelerate enrolment, and reduce the time to market for important investigational treatments and therapies.

Science 37 will be able to match individual patients to specific clinical trial cohorts by using the artificial intelligence (AI) technology of BEKHealth to search the patients’ EMRs in the company’s extensive community provider network.

Science 37 chief delivery officer Darcy Forman said: “As a virtual site, Science 37 is in the unique position to be able to access patients that are unavailable through a traditional site network.

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“Directly accessing the EMR data across our community providers enables us to get much more precise at feasibility and to accelerate enrolment through one of our most prolific patient recruitment channels.”

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BEKHealth accelerates the clinical research of innovative medicines by offering EMR data processing, precision patient trial matching, care coordination, feasibility, and site selection.

It combines an AI-powered EMR data-processing engine with easy-to-use workflow solutions, and allows CROs to quickly recruit the right patients for the clinical trials.

BEKHealth president and CEO Jason Baumgartner said: “By applying our data, technology, and tools to Science 37’s flourishing community provider network, we are able to support their mission to provide access to patients who would normally not have exposure to clinical research.

“With this partnership, we’ll be able to target the more than 90% of patients in healthcare systems who are traditionally overlooked.”