Monthly Archives

October 2016

Disrupting Traditional Patient Recruitment Via Identification Analytics

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Over 80 percent of clinical trials today fail to meet their stated timelines. Low recruitment/patient enrollment and retention from under-performing sites stalls clinical trials and is costly on a variety of levels. Despite vast and varied efforts, this has not changed greatly over the past two decades. Considering the advances that have been made in many other areas of research with process improvement and technology, e.g. electronic data capture, risk-based monitoring and sophisticated visual analytics, the advances in patient recruitment have not kept pace or yielded the desired benefits. Read More