Currently, clinical trial and real world data exist in separate silos, creating a disjointed understanding of a drug's efficacy and how patient outcomes improve following the launch of a drug. With proper patient consent, data linking, tokenization and patient identification technologies have created the ability to link patient-level real world data to clinical trial data for an individual patient to fix the broken feedback loop and enable a wide variety of use cases, including patient safety monitoring, trial design and long-term therapeutic efficacy beyond the duration of clinical trials. We aim to share practical applications and discuss case studies currently utilizing this technology as well as rewards and risks associated with data linkage that facilitates merging information from clinical trial and real world data
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