Showing 1-5 of 11 :
From Big Data to Rapid Analytics for Rheumatology – Data Quality, Tools, and Usage

Wednesday, August 14, 2019 Being able to quickly and cost-effectively collect, analyze, and share real-world evidence on a treatment is critical to improving outcomes in rheumatology conditions. Fortunately, advances in data linkage and processing capabilities are enabling greater access to patient journeys via deep, linked clinical data. At the same time, new tools are empowering[…]

Aug 30 – Next Generation Registries: Big Data, Advanced Analytics, More Dynamic Evidence

August 30, 2018 – 2:00 – 3:00 pm ET Registries continue to be a critical part of the real-world evidence equation, but over time they have become too trialized, too burdensome, and too separated from real clinical practice. Emerging methodologies, data digitization, and cognitive technologies have set the path for drastic changes needed to address[…]

Using Big Data Like Biomarkers to Advance Clinical Development & Commercialization

March 28, 2018 – 2 PM ET What if you could use predictive models like biomarkers to pre-emptively screen and more effectively target patients who are more likely to respond to your drug in trials and in practice? What if you could rapidly answer questions on comparative treatment outcomes and predict those most likely to[…]

AI & Big Data: Transforming Real-World Evidence’s Impact on Decision Making

November 28, 2017 – Dr. Richard Gliklich As artificial intelligence and advanced analytics are increasingly lauded for uses in life sciences and healthcare, it’s becoming difficult to differentiate between the different terms, to understand what is real and what is hype, and to understand how to best leverage these technologies for advancing real-world evidence and[…]