Real world evidence is playing an increasingly important role in HEOR and health care decision-making.
However, the diverse nature and sheer volume of real world data presents a number of challenges to health care and life sciences organizations aspiring to leverage real-world evidence to, respectively, improve patient clinical outcomes, and demonstrate the safety and value of pharmaceutical products.
Whether it’s structured, multi-structured, or unstructured, today’s real world data presents a barrier to insight because it is derived from a wide-variety of sources — including electronic health records, genomics data, sensors, wearable devices, etc. — and stored across disconnected silos that make it difficult to integrate and transform this disparate information for analysis and insights.
In this webinar, we’ll discuss how data science and digital data technologies are empowering organizations to overcome these obstacles while transforming the way real world evidence is generated and used.