“…Broadly speaking, we need to make sure that the right kinds and the right numbers of patients are found for individual trials.  Then we need to enroll those patients, get trials running, and act on the results as quickly as possible. Towards the first goal, the much greater use of biological and statistical models to predict the course of clinical trials will be a big step forward in optimizing patient selection.  Modeling is increasingly possible—thanks to advanced computing—and will become even more effective once we encourage the creation and use of larger data repositories.  They must tap so-called “meta-data” on previous clinical-trial patients—which includes their health histories and other individual characteristics—as well as real-world data on the outcomes of existing treatments.  We know a lot more than we think we know—if only we gather and make use of it.

New technologies also can help to speed up clinical-trial enrollment and conduct—alongside changes in attitudes.  At my company, we’ve helped patient-advocacy groups establish user-friendly, online clinical-trial finders for people trying to understand and then take part in clinical research.  Such tools need to be the norm.  The use of social media in recruitment and electronic informed-consent documentation at enrollment also are no-brainers to improve efficiency, but still far too uncommon in practice….”. –John Lechleiter for Forbes, excerpted from his article, “Ways to Make More Affordable Medicines: Speeding Up Development”, click here to read the article in its entirety. [end].  Study Scavenger Clinical Trial Recruitment App was created for research volunteers to simplify the process of finding clinical studies that meet their personal, health, travel and financial needs. You can start utilizing Study Scavenger Clinical Trial Recruitment App to expedite your recruitment process by clicking here.