The success of any given clinical trial depends heavily on the relationship between the sponsors and study sites. This is more important than ever since life sciences and healthcare companies are undergoing a digital transformation.
The evolving trend towards patient-centric trials, combined with the introduction of digital technology solutions that improve clinical trials outcomes, means there is a need for sites and investigators to be re-engaged to improve the clinical trials process. In a world where companies like Amazon, Uber, and Google are dominating and defining digital experience, life sciences companies are challenged to deliver a digital experience to their participating investigators (as well as patients) that is as equally intuitive, valuable, and beneficial as they have come to expect in other areas aspects of their lives.
A recent study found that more than 54% of investigators complete only one study with any given sponsor or CRO.
This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.
There are several contributing factors to this high turnover rate, but this fact encapsulates the urgency of the topic at hand – the relationship between the sponsor or CRO and the clinical investigators. When more than half of principal investigators (PIs) are walking away after having gone through the laborious activity of getting their site up and running, this ends up being a very expensive problem that needs to be solved quickly.
In another benchmark study, a consortium of sites and investigators used a variety of key attributes to evaluate pharmaceutical/sponsor organizations. Some of the attributes where sponsors did not score well across the board were accuracy of information, a well-informed staff, effective communication, timely resolution of issues, and overall preparedness and organization.
This guide looks at some specific clinical trial challenges concerning the pharma-investigator relationship and explores potential robotic process automation (RPA) solutions that may help address these challenges and improve sponsor reputation with investigators and sites.
To learn more about specific clinical trial challenges concerning the pharma-investigator relationship and potential solutions using robotic process automation, you can download the guide here, or fill out the form below.