This is Part #2 of a blog series describing how disruptive innovation technologies such as Saama’s Life Science Analytics Cloud is enabling the Pharma industry to bend its clinical development cost curve sharply downwards while bringing cures to patients sooner.  This blog, co-authored by Nekzad Shroff  and Amit Gulwadi , explains the ROI benefits of improved trial planning decisions through the smart use of data driven insights.

Clinical trial planning is an iterative and strategic undertaking which can have an outsized influence on the overall outcome of a clinical trial and the eventual fate of the candidate therapy. There are several decisions which are made in the planning phase which have traditionally required painstakingly manual data collection, research and analysis in order to give decision makers insights to enable the trial the best chance of success. And, in spite of best efforts, trial planning decisions still leave a lot of room for improvement, given some of the unflattering statistics on trial performance available in the industry. For example[1]:


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