Patient Tokenization: Practical Applications in Clinical and Real-world Research
The ability to link disparate datasets with de-identified or anonymized patient data has existed for decades but has been unrealistic to apply at scale. Tokenization is becoming more popular with the increase in already tokenized real-world data sets and innovative methods for collecting data. Many questions still exist, however. This presentation aims to answer:
What is tokenization and how does it benefit various stakeholders?
How are patients tokenized and what are some of the key considerations?
Once patients are tokenized, what do you do with the token and are there other operational considerations?