Traditionally, non-interventional studies are often limited by fragmented patient data and burdensome site visit requirements leading to unrepresentative patient enrollment and ultimately concerns about study relevance and reliability. Today, technology and AI-powered methodologies are solving these challenges, streamlining research by making studies more accessible, capturing complete patient journeys, and generating robust insights.
In this webinar, panelists from PicnicHealth and their life sciences partners reveal how PicnicHealth’s AI-powered approach is transforming research. From accessing hard-to-find data to accelerating data abstraction, explore real case studies on how AI can advance your evidence generation. Panelists also discuss how technology engages patients and enables deeper research insights through the complete integration of retrospective, prospective, and ongoing patient-generated data like PROs and wearables.
Discover:
- Access hard-to-find data for insights generated from complete patient journeys
- Accelerate relevant data abstraction for more rapid, regulatory-grade insights
- Run more patient-friendly, engaging studies with reduced study drop-out
- Reduce study bias and enable more flexible research
- Feed a global learning system for identifying patterns in the data by collecting each patient interaction