Combining data tokenization and real-world patient insights to bridge the gap for a more diverse and complete dataset
Clinical expert, David Barrett shares insights on how we linked real-world data with personal characteristics, such as race, ethnicity, and social determinants of health, to gain a more complete view of patients. This research aims to educate drug developers on ways to improve patient representation in clinical trials, address shortcomings in linking real-world data (RWD), and enhance the understanding of patient journeys and outcomes.
Clinical research using real-world data (RWD) typically faces shortcomings in linking that data with a patient’s personal characteristics and experience, clouding the researchers’ view of the individual patient.
To address this, Parexel initiated a study protocol that aimed to evaluate technologies for linking participant engagement with RWD to try to close this gap. With this initiative, we incorporated innovative data science techniques using streamlined technology integration and tokenization. Our goal was to demonstrate that we could develop a more complete and holistic view of an individual patient through this methodology.
Download to see what we found.
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