Press Release (ePRNews.com) - TORONTO - Nov 21, 2018 - In a live webinar taking place on Thursday November 29, 2018 at 1pm EST, industry experts will discuss the challenge of simplifying clinical data flow from EDC to SDTM and offer some solutions.
Recent trends in clinical trials – including the increasing availability of clinical, operational and real-world data streams – offer the opportunity to gain better insight over clinical R&D as never before, but poses interesting challenges with data aggregation, harmonization and collaboration. To take advantage of growing clinical data streams requires new capabilities to automate electronic data capture (EDC), clinical data management and operational analytics business processes using simplified technology platforms.
Today, taking clinical trial data from EDC to Study Data Tabulation Model (SDTM) is time consuming, resource intensive and complex. More often than desired, clinical data resides in silos across study teams, data management groups, statistical analysis and clinical operations. This makes optimizing clinical data flow challenging, if not impossible, and creates operational inefficiencies that will simply not scale to meet the needs of key business stakeholders planning for the future.
The good news is that there are innovative ways to overcome this complex challenge.
Join featured speakers Srinivas Karri, Senior Director of Strategy at Oracle Health Sciences’ Global Business Unit and Maria Perkinson, Director at Kinapse (a Syneos Health company) for an informative session including a Q&A with the audience.
To learn more about this complimentary webinar visit: Simplifying Clinical Data Flow from EDC to SDTM.
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