When it comes to clinical trials, the consequences of bad data can be severe. Research and development becomes complicated and lives can be put at risk. The need for clean clinical data is critical for comprehensive reporting and analysis, ultimately enabling safer drugs and devices to be brought to market faster.
Join us this Thursday for a 30-minute, no-nonsense webinar in which my colleague, Prabha Ranganathan, will discuss why and how organizations can leverage Oracle Health Sciences Data Management Workbench (DMW) to revitalize the clinical trial data captured in Oracle Health Sciences InForm.
How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process
This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.
Specifically, Prabha will provide an overview of the clinical data process, as well as the challenges associated with it. Through a live demonstration, she will also show how DMW can help you address the complexities in clinical data management.
It’s the first time we’re showing a glimpse of the application to a live audience, so you don’t want to miss it.