Watch On Demand!
Structured, such as what’s found in an electronic medical record, and unstructured, such as what’s found in clinician notes, real-world data (RWD) provide valuable insights into treatment effectiveness and safety, gaps in care, reasons for discontinuation, and more. Yet, understanding how these data complement each other and how to choose appropriate data sources based on different evidence needs is critical to success. This presentation will explore best practices, biases, and pitfalls to avoid when using different types of real-world data.
Featured Topics include:
- Comparing structured and unstructured data and how they complement each other
- Choosing the right data and appropriate sources based on different evidence needs
- Best practices, biases and pitfalls when working with unstructured data
- Use cases
|Anna Swenson, MPH, Senior Epidemiologist, OM1|