Accelerating & Innovating Real-World Evidence with Study Automation, Outcomes Data & Artificial Intelligence
Time: 3:30 pm
day: Conference Day One
Details:
- Using study automation to dramatically scale, accelerate enrollment, and drastically reduce per patient costs
- Combining passive data collection with protocol-driven clinician and patient-reported outcomes to fill data and evidence gaps
- Applying AI to find patients and understand and predict outcomes with validated models
