Enhance clinical trial screening and improve patient matching accuracy

Traditional approaches to patient-trial matching often rely solely on structured data, leading to inaccurate eligibility lists and missed opportunities to… Clinical data provides medical professionals with vital insights. Credit: Getty Images. Traditional approaches to patient-trial matching often rely solely on structured data, leading to inaccurate eligibility lists and missed opportunities to enroll the right patients. These methods struggle to capture nuanced clinical criteria that aren’t easily mapped to discrete data fields. Additionally, the lack of transparency around inclusion and exclusion decisions leaves providers and clinical research coordinators (CRCs) uncertain about why certain patients are surfaced, creating inefficiencies and slowing down…

Source: Clinical Trials Arena