Welcome to Scope 2019
Thanks for visiting Medidata at SCOPE 2019
Whether you came by for a product demo or just to say a quick hello, we hope you enjoyed your time at the 10th annual SCOPE Summit in Orlando. Below are the breakout session presentations, that we delivered at SCOPE. If you’re interested in learning more about the game-changing features of modern clinical trials or you missed one lived we’ve got you covered, we invite you to download the presentation materials.
Breakout Speaking Sessions at SCOPE
Feb 19, 12:10 - 12:40pm: Clinical Trial Financial Forecasting with Predictive Subject Enrollment
The industry is fraught with disparate systems that prohibit effective financial forecasting critical for clinical financial management. Learn how predictive subject enrollment models, when applied correctly, can inform financial forecasting for appropriate budgeting.
Feb. 19, 12:45 - 1:15pm: Transforming Data Quality using Machine Learning
Learn how to set your organization on a path to improved data quality across the clinical trial process using machine learning.
Feb. 19, 3:10 - 3:40pm: Quantifying Patient Burden to Improve Clinical Trial Planning and Execution
Learn how clinical operations professionals are taking a data-driven approach to make patient-centric modifications to trial designs.
Feb. 19, 4:10 - 4:40pm: Patient Engagement: Strategies for Patient-Centric Trial Design and Digital Patient Engagement
Feb. 20, 9:55 - 10:25am: Utilization of Drug Pooling to Optimize Complex Drug Management
Despite the potential to deliver significant efficiencies and cost savings, pooling inventory across clinical studies has more often been an approach discussed in our industry than applied in practice. This presentation will cover how drug pooling at the site and depot levels was applied to an innovative oncology program, enabling for the implementation of a complex adaptive design while decreasing costs, shortening timelines, and, ultimately, leading to better treatments for patients sooner.
Feb 20, 2:15 - 2:20pm: Opportunities and Challenges in Artificial Intelligence(AI), Patient Centricity, Privacy
Feb. 20, 4:05 - 4:10pm: RWD to Accelerate the Design and Execution of Clinical Trials
Feb. 20, 5:10 - 5:40pm: Practical Consideration of a Successful RBM Implementation
RBM is not a one-size fit all. Yet, RBM carries a value proposition for everyone. Learn how to be successful with your RBM implementation by seeking different value propositions than others.
Feb 21, 7:45 - 8:15am: A User’s Perspective into a Unified Imaging and EDC Approach
Feb 21, 11:10 - 11:15am: Clinical Technology and Innovation- Disruptive Technologies for Data and Trial Management
Feb. 21, 11:45 - 12:15pm: Enhancing Serious Adverse Event Detection Through Artificial Intelligence
To protect the rights and welfare of patients in a clinical trial, information concerning adverse events–especially serious adverse events (SAE)–must be communicated among site investigators, institutional review boards, trial sponsors and regulatory agencies, such as the FDA, in a timely manner.