Wednesday, March 6, 2013

Partnerships Featured Session: Data Can Only Drive You So Far – Employing Clinical Operations Intelligence Takes You Further

Big data is the new buzz surrounding many industries including clinical trials.  This year at Partnerships, we're tying the theme of big/real time data to focus on the trend in the industry.  TOday we feature a case study that highlights a Pharma company and a vendor company partnering to enable the a sponsor to look at the data in a holistic approach allowing them to be ahead of trends, patterns and issues in the future.

Partnerships in Clinical Trials will take place April 21-24, 2013 in Orlando, Florida.  For more information about this session and the rest of the program, download the agenda.  If you'd like to join us in Orlando, as a reader of this blog when you register to join us and mention code XP1800BLOG, you'll save 15% off the standard rate.

Featured Session: Data Can Only Drive You So Far – Employing Clinical Operations Intelligence Takes You Further

Featured Speaker: Michael Luker, Sr. Advisor, Clinical Research Innovation, Eli Lilly & Co. and Malcolm Burgess, Executive Vice President, ICONIK

About the session: Is data enough to drive the improvements needed in the design and execution of our clinical development programs? The ability to review and compare/contrast the data in real time (including the use of historical information across programs and therapeutically aligned trials) allows project managers to detect underlying trends and patterns before their impact becomes apparent. These trends, patterns and subsequent complex analysis can then be used to proactively enhance the way we execute protocols as well as other activities such as enhancing detailed operational plans and to ultimately improve the quality of the final client deliverables, while always placing patient safety at the heart of the whole process. This case study presentation demonstrate that using an integrated data platform (ICONIK) enables trial managers to look at both the clinical data in real time as well as examine historical meta-data holistically.





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