Dr. Jessica Paulus explores opportunities and challenges with using RWD in conducting comparative effectiveness research.
Real-world data (RWD) can provide valuable insights into treatment effectiveness and be used to generate evidence for decision making. Understanding which data, when and how to use it, and special considerations when leveraging for regulatory and other stakeholders are all critical to success for RWD comparative effectiveness research (CER). Dr. Jessica Paulus explores opportunities and challenges with using RWD in conducting CER, including; methods to reduce bias, regulatory considerations, and examples of large real-world datasets and use case applications.
Key Topics Include:
- Explore opportunities and challenges in conducting CER using RWD, including methods to reduce bias
- Identify examples of using large real-world datasets to generate comparative effectiveness insights
- Understand regulatory considerations when using RWD for comparative effectiveness
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Presenters
Vice President
Research
OM1 Inc.
Jess Paulus, ScD is the Senior Director of Epidemiology at OM1. She received her doctorate in Epidemiology from Harvard T.H. Chan School of Public Health and holds an adjunct appointment at Tufts University School of Medicine. She leads a team of epidemiologists at OM1 to leverage real world data to inform clinical and regulatory decision making.
Production Partner
OM1
With specialization in chronic conditions, OM1 leverages its extensive, specialty clinical networks and an artificial intelligence (AI) platform to offer enriched health care datasets, research analytics, data modeling, decision support, and retrospective and prospective clinical studies.
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