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

Contemp Clin Trials Commun

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

Published: September 2018

AI Article Synopsis

Article Abstract

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.

Download full-text PDF

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

Publication Analysis

Top Keywords

clinical trials
20
trials fail
8
opportunities improving
8
improving likelihood
8
trials identified
8
trials
6
clinical
5
factors associated
4
associated clinical
4
fail opportunities
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!