Transforming Data Into Insights and Outcomes in Risk Based Quality Management (RBQM)



Tue, Sep 13, 2022 11:00 AM EDT Reduce clinical monitoring costs by deploying a risk-based strategy. Learn how technology and analytics enable actionable insights, reduce trial costs and improve patient safety and data quality.

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Event overview:

The healthcare research environment is rapidly evolving, and decision-makers must manage more information than ever before. Traditional data analytics solutions are rarely equipped to use this multitude of data to drive fast and actionable insights. The importance of data and analytics becomes clear when considered in the context of clinical monitoring, which can represent 50% of total trial costs.
This webinar highlights how RBQM technology can enable a data-driven approach by aggregating disparate data sources to provide insights into clinical, operational, and subject safety risks. At its core, RBQM technology should utilize clinical trial experience with a risk-based approach and leverage AI/ML to automate the detection and prediction of risks. Intelligent workflows can then be transformed with these insights, enabling clinical teams to deploy risk mitigating and preventative actions.
In this Applied Clinical Trials webinar, you’ll learn how you can drive fast, actionable insights throughout a clinical trial to help reduce trial costs while improving patient safety and data quality.

3 Key take-aways
Register now to learn how technology and analytics provide:

  • Transparency by aggregating structured and unstructured data sources
  • Data-driven insights to identify the next best action across clinical, operational, and safety data leveraging automated alerting with embedded AI/ML

Intelligent workflows that enable monitors to deploy risk mitigation and prevention


Gayle Hamilton
Director, RBQM, Digital Trial Management Suite

Gayle Hamilton joined IQVIA in 2004 and has been working in the industry since 1996. She has been working in Risk-Based Monitoring as a Project Advisor since November 2015. She is experienced as a seasoned Project Lead with a strong background in clinical operations and project management; all aspects of clinical trial phases and therapeutic areas; supporting study trial teams and IT development in RBM implementation; and, development of processes, tools and systems for IQVIA Risked Based Monitoring solutions where she has 10+ years of experience.
Gayle is also experienced in assuring high quality business performance of clinical operations within global projects. Prior to working for IQVIA, Gayle performed clinical research for 10 years in the Allergy and Asthma field and has a background in Emergency Medicine and Nursing. Outside of work, she enjoys spending time with her family, raising Monarch butterflies and outdoor activities.

Adrian Kizewski
Associate Director, RBQM, Digital Trial Management Suite

Adrian brings expertise spanning R&D and clinical life sciences, business analysis, process design & improvement, and product implementation. He is currently a lead for IQVIA’s Digital Trial Management Suite focused on the Risk Based Quality Management SaaS solution. Adrian holds an MBA from the McDonough School of Business at Georgetown University in addition to an MSc in Pharmacology from The Johns Hopkins University School of Medicine and a BSc in Biochemistry from Temple University.

Sathya Ramnath
Product Lead, RBQM, Digital Trial Management Suite

Sathya is a Product Lead at IQVIA, where he drives business and product vision, strategy, and execution of Advanced Analytics for IQVIA’s Risk Based Quality Management SaaS solution. He brings expertise spanning R&D, clinical operations, process design, artificial intelligence, and product implementation. Sathya holds a Bachelor’s degree in Pharmaceutical Sciences from Institute of Chemical Technology, India and an MBA from University of California San Diego.

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