Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review.

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Contemp Clin Trials Commun 2018 Sep 7;11:156-164. Epub 2018 Aug 7.

Trials.ai, 4520 Executive Dr., Suite 200, San Diego, CA, 92121, United States.

Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical trials can fail for many reasons. This survey reviews many of these reasons and offers insights on opportunities for improving the likelihood of creating and executing successful clinical trials. Literature from the past 30 years was reviewed for relevant data. Common patterns in reported successful trials are identified, including factors regarding the study site, study coordinator/investigator, and the effects on participating patients. Specific instances where artificial intelligence can help improve clinical trials are identified.

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http://dx.doi.org/10.1016/j.conctc.2018.08.001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6092479PMC
September 2018
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