Formedix Partners with eClinical Solutions.
Mansfield, MA, June 9, 2020 — eClinical Solutions LLC, a global provider of cloud-based enterprise software and software-driven clinical data services that accelerate drug development, today announced additional connectors that allow life sciences industry to seamlessly integrate diverse data sources from various clinical systems, including Formedix, Omnicomm and Box with its flagship elluminate® clinical data platform. elluminate is used by more than 100 life sciences organizations to unify all clinical data sources for real-time data visibility, transformation, and analysis.
“Life sciences organizations need clinical data solutions that are easy to implement and deliver faster time to value,“ says eClinical Solutions CEO Raj Indupuri. The latest release of elluminate allows clinical teams to more efficiently integrate data from their existing systems with elluminate. Increased interoperability among clinical data platforms leads to shorter study setup times, easier cross-study analysis, and streamlined trial operations.
With more than 75% of sponsors highlighting the time-consuming and labor-intensive nature of importing, ingestion, reviewing and cleaning clinical data, improving data interoperability is key to saving time and accelerating the clinical trial process. The integration of elluminate with clinical metadata repositories (MDR) like Formedix offer life sciences companies an improved clinical data infrastructure that can help with study automation and increased compliance and data quality.
“By integrating the capabilities of Formedix and elluminate, sponsors can take advantage of clinical data standards across all of their data sources,” says Formedix CEO Mark Wheeldon. “This integration allows standards to be defined in Formedix, and consumed and validated in elluminate, which supports faster study setup and rapid time to analysis from downstream analytics.”
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The Formedix clinical metadata repository and study automation platform has been built especially for clinical metadata.
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