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There is an increasing need to leverage real-world data to accelerate clinical development and reduce unnecessary spend. The true value of real-world data lies in the ability to link datasets for multiple use cases. Linkage between real-world datasets is possible without tokenization due to the patient-identifiable data points captured as part of health records and claims data. And though there are regulatory requirements that govern the handling of patient-identified data and the use cases thereafter, the likelihood of success in creating linked datasets is high. However, due to the need to preserve subject-level anonymity within the confines of regulated clinical research, tokenization of the clinical development data becomes key to enable the linkage of clinical development data with real-world data.