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In spearheading our adoption of Medidata Detect, we're not only reinforcing our commitment to data quality and patient safety, but we're also embracing a pivotal enhancement to our existing technology stack. Our partnership with Medidata now extends beyond the realms of Rave® EDC, CTMS, and eTMF, illustrating a significant step in our long-term strategy to advance clinical trial efficiency through innovation.
Michael Mendoza, Executive Director of eClinical Technology and Biometrics, TFS HealthScience
We are thrilled to be the first CRO implementing Medidata’s Detect platform, which addresses many data inefficiencies the industry experiences today. Using a centralized data management system will enhance data quality, risk management, and decision-making, fast-tracking clinical trials for clients and the availability of drugs for patients.
Dr. Bassem Saleh, Chief Executive Officer, TFS HealthScience
At Medidata, we’re collaborating with our 2,300+ global customers to accelerate clinical trials by developing new, scalable data experiences that improve quality, maximize efficiency, and better support patients. Medidata Detect will give TFS HealthScience a competitive advantage with AI-driven insights and task automation that reduce the time to high-quality data and bring operational teams closer, eliminating redundancies and aligning processes across the organization.
Tom Doyle, Chief Technology Officer, Medidata
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TFS forms partnership to conduct a global RWE study on Covid-19 pandemic.

Wed, Apr 01, 2020 10:29 CET

TFS joins Observational Health Data Sciences and Informatics (OHDSI) community in a COVID-19 virtualstudy-a-thon (March 26-29) to inform healthcare decision-making in response to the current globalpandemic. With the increasing availability of real-world COVID-19 data worldwide the main purpose ofthe event is to generate immediate real-world evidence on prioritized questions shared by nationalgovernments, public health agencies, health-related institutions, and community members; and todesign COVID-19-specific studies that can be validated and available to run when such data is

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