Real-world evidence is an essential springboard to improved patient access and commercial success. By selecting the right databases, you can vastly deepen your understanding of disease epidemiology and the patient journey.
DGE’s Real-World Evidence & Market Access Summit gives you the practical knowledge you need to clearly gauge the effectiveness of treatment options and the value your products offer in each patient subgroup. No other life science conference focuses specifically on this topic while streaming on a proven interactive online platform!
- Unprecedented Impact of RWE During COVID 19 Pandemic and What to Expect in the Future
- Gain Regulatory Insight on FDA Initiatives to Optimize RWE
- Determine What Evidence is Needed to Justify Use of RWE for Approval of New Indications or Expand Labeling
- Evaluate the Potential for Using RWE as a Synthetic Control Arm
- Gain Insight on Using RWE to Demonstrate Value, Support Coverage Decisions and Pricing
- Benchmark Strategies for Meeting Regulatory and Payer Needs for Real World Evidence
- Approaches for Providing HEOR Insights Across the Product Lifecycle
- Toolkit for Identifying Unmet Patient Needs in Rare Disease
- A Map for Applying Real World Evidence to Communications Strategies to Achieve Launch Excellence
- Plans for Using AI and Machine Learning to Extract and Analyze Data
This conference is designed for senior leaders and executives in pharmaceutical, biotech, and medical device companies responsible for:
- Real World Evidence/Data/Analytics/Strategy
- Health Economics and Outcomes Research (HEOR)
- Medical Affairs
- Market Access
- Epidemiology
- Population Health
- Observational Research/Studies
- Post Approval
- Drug/Patient Safety
- Clinical Operations/Development
- Medical/Scientific Affairs
- Pricing/Reimbursement
- Commercialization
- Regulatory Affairs/Policy
Also Relevant for Solution Providers focusing on:
- Real World Data and Evidence Platforms/Solutions
- Trial Management Software
- Data Management Software
- Digital Platform Technology
- CROs
- Artificial Intelligence and Machine Learning





















- Integrate scientific network, social listening, and real world data (claims) to understand how these data assets can work together to find hidden insights (unicorns).
- Exploring how business decisions can be optimized based on new ways of understanding what is actually going on
- Facilitate earlier diagnosis and intervention
- Build predictive models to detect disease patterns
- Determine which endpoints will be most valuable
- Identify sub-populations that will be most likely to respond to therapy
- How to engage early with patients and patient organizations
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