The application of real-world data and emerging technologies continue to have tremendous promise in healthcare. However, inherent challenges with popular real-world data sources like electronic medical records and patient registries can limit research potential. A new, promising data source that could help explore and unlock new discoveries lies in the use of simulated data that can be used in place of real patient information. These synthetically generated data sets, applied with artificial intelligence, can enable researchers to conduct experiments that otherwise may not be possible to explore in the real-world.
- Exploring challenges with current real-world data sources
- Foundational elements of simulated data and its application via artificial intelligence
- Results from recent research testing and validating benefits of simulated data