A PARADIGM SHIFT IN PATIENT RECRUITMENT FOR CLINICAL TRIALS

EXECUTIVE SUMMARY

In the last two decades, technology has drastically changed how we conduct business and lead our personal lives. However, medicine and more specifically the business of clinical trials hasn’t kept up. Finding patients for clinical trials, or patient recruitment, is still conducted very much as it was 20 years ago with very little having changed.

It’s no surprise that enrolling a sufficient number of patients in trials remains a chief bottleneck in the drug development process, attributing to delays of up to six months or more in 45% of studies. Relying on manual chart review of patient records to identify eligible patients that match inclusion and exclusion criteria is burdensome, expensive and time intensive.
This White Paper takes an in-depth view of CNLP (Clinical Natural Language Processing) and demonstrates the power of automated pre-screening to find markedly more patients in less time.
 

Addressing Pain Points of Investigator Payments for Clinical Trials

The terms and processes by which investigative sites are paid to conduct clinical trials have long been a thorny issue. These issues have impacted clinical research sites’ ability to focus on conducting quality research and meet enrollment goals — as well as continue their role as the bridge from promise to reality for new therapeutic treatments.

Alleviating the Pain of Independent Site Sourcing

When sponsor companies require clinical trial sites to source commercial drugs and ancillary supplies independently, it can impact the outcome of clinical trials. Sites often lack the expertise, time, resources and processes for efficient and effective supply chain management. It is critical that sponsors evaluate these challenges and optimize their sourcing strategies to minimize risk and maximize success.