There is a growing interest in the application of synthetic data across health and life sciences, but to fully realize the benefits, further education, research, and policy innovation is required. This article summarizes the opportunities and challenges of synthetic data generation for health data, and provides directions for how this technology can be leveraged to accelerate data access for secondary purposes.