Webinar: Effective Ingestion and Normalization of Real World Data Sources

This webinar will discuss how the ability to ingest and normalize a variety of real world data sources is paramount to produce powerful real world evidence. Join us to gain valuable insights on:

• How electronic medical records (EMRs), claims, and wearable device data can be ingested in one platform to create a single data repository
• How an AWS-powered RWE platform can normalize these disparate data sources to create meaningful output
• A case study showcasing a holistic analysis to uncover a full spectrum view of therapeutic area treatment patterns​

Overview

The use of real world data (RWD) analysis to drive value-based care for patients and impactful real world evidence (RWE) for regulatory stakeholders, continues to accelerate. As more sources of anonymized data become available, the ability to ingest and normalize these disparate data sets can become a rate limiter for creating insightful, analytical output.

Advances in technology are now keeping pace with the increase in available data. These advancements provide an unparalleled opportunity to bring together the most meaningful RWD, from claims data to physician notes to wearable device data and beyond. By first standardizing and then linking the collected data, you are able to create RWE that is tailored to address specific questions that have been posed at the beginning of a research study or that are required by regulatory and market access stakeholders.

Powerful data handling, combined with functionalities such as natural language processing (NLP), used to “read” unstructured RWD, and machine learning, which expedites advanced analytics and predictions within a data platform, further drive efficiency and access to immediate insights. With these advanced technology tools in place, the ongoing ingestion, processing, and analysis of new data can propel biopharma companies to improved, data-driven, and evidence-based decision making throughout the product life cycle.

Creating a strategy to drive this process and identifying which data sources will provide the richest analytic landscape are also important steps to consider. It has become ever more important for companies to utilize a broad array of RWD sets available to measure a product’s true performance through real world outcomes. This can then reinforce the product’s inherent value in the marketplace. Having access to a powerful, agile technology platform will ensure that no matter what data sources become available for future analysis, the framework is in place to support evolving requirements.

Presenters