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Home » Biomedical Systems, Foundry Health partner for real-time data access

Biomedical Systems, Foundry Health partner for real-time data access

August 23, 2016
CenterWatch Staff

Biomedical Systems, a 40-year-old, family-owned, clinical trial provider to pharmaceutical, medical device, biotech and CROs, has announced a new partnership with digital health company Foundry Health of Chicago. The two companies will collaborate on the development of a proprietary cloud-based data management system that will allow sponsors immediate access to clinical trial data in real time.

"We've been a leader in the clinical trials industry for more than 40 years, and we continue to invest in technologies that improve data management capabilities for our clients," said Tim Barrett, CEO, Biomedical Systems. "Our partnership with Foundry Health will result in a best-in-class data management solution, and we are dedicating significant resources to accelerate its availability."

Since 2013, Foundry Health has specialized in the development of patient-centric software tools and systems for use in clinical trials and medical settings. The company is best known for the creation of ClinSpark, the world's first CDISC ODM certified phase I eSource system.

"The partnership with Biomedical Systems will provide clients a continuum of data management for all phases of study," said Brock Heinz, CEO, Foundry Health. "Biomedical Systems will focus on applications in phases II through IV, while Foundry Health will continue to service clients, concentrating on phase one. We believe the product we are developing together will ultimately transform the way data is managed and accessed within clinical trials."

The new data management system will be phased in over time and made available to all Biomedical Systems clients.

"Foundry Health is a trusted leader in the digital health space," said Jim Ott, chief technology officer, Biomedical Systems. "We are proud to partner with Foundry Health's experts as we strive to provide our clients with the tools necessary to capture, analyze and effectively manage data for clinical trials."

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