Take health research to the next level with a new real-world evidence model
This webinar is on-demand and can be viewed at your convenience.
Real-world evidence has advanced health research over the past two to three decades. But the challenges of procuring sufficient, high-quality real-world data, of unlocking the knowledge contained in the data, and of sharing information without compromising patient privacy are ever-present.
Achieving major advances in real-world data exploration requires the successful convergence of synthetic data and self-service analytics. During this discussion, experts will discuss the value of fostering a new RWE model.
Key learning points:
Achieving major advances in real-world data exploration requires the successful convergence of synthetic data and self-service analytics. During this discussion, experts will discuss the value of fostering a new RWE model.
Key learning points:
- Understand the concept of synthetic data, how synthetic data are generated, and how their use facilitates access to real-world, patient-level data without compromising patient privacy
- Understand how self-service analytics tools facilitate research by bringing primary researchers closer to the point of innovation, shortening the time to innovation and discovery
- Understand how the combination of synthetic data and self-service analytics synergistically creates a new model for real-world evidence