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How Patient Recruitment Technologies Can Enhance Clinical Trials

Life Sciences Review | Monday, September 13, 2021
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Technology is helping in patient recruitment, quicker trials, and delivering valid results faster.


Fremont, CA: Missed deadlines and non-starter trials have happened from failing to enroll the correct patients or even any patients. It's a cost that the industry can't manage at the moment. In particular, it was brought to light as a result of trials for possible Covid-19 vaccines and the requirement to identify patients from specific population profiles. Simultaneously, trials often involve vulnerable groups who are most at danger from Covid-19 exposure. As a result, the second regard is the necessity to risk score patients as soon as possible.


Trust is, unsurprisingly, a significant issue when it comes to recruiting new clinical study participants. Individual patient safety must be ensured as a prerequisite for attaining effective outcomes and advancing development programs. Effective communication is critical in this situation. A consistent, patient-centered message will increase patient engagement, develop trust, and ensure that patient recruitment reaches its full potential throughout primary and secondary care. 


A lack of rich and real-time data – for site selection and patient status – has been a stumbling block to trial success. Using integrated real-time data, professionals may better insight into a patient's history and drivers and personalize their experience even more.


Clinical trials will be transformed by connected AI-enhanced, digital, and virtual technology. This means prioritizing speed, safety, effectiveness, and, most importantly, patient-centricity – all of which are more important than ever as trial sponsors look for methods to save costs and boost productivity. Furthermore, the search for appropriate clinical patients can be expanded further by utilizing the industry's data capabilities, breaking free from traditional procedures. Understanding crucial data factors like motivators, previous experiences, and even behavioral patterns makes it simple to weigh the patients who are best suited for the study, resulting in increased recruitment and retention.


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