Risk-Based Monitoring
Risk-based monitoring (RBM) offers a modern, data-driven approach to clinical trial oversight by focusing resources on the most critical areas of risk. This session explores the principles and methodologies behind RBM, including centralized monitoring, key risk indicators (KRIs), and targeted source data verification (SDV). Attendees will learn how to develop risk management plans, use statistical algorithms for site prioritization, and incorporate real-time dashboards for efficient decision-making. The session also addresses regulatory guidance from FDA and EMA on RBM adoption and common implementation challenges. Real-world case studies will illustrate how RBM can enhance trial quality, reduce costs, and maintain compliance while improving overall operational efficiency. This session is designed for clinical operations leaders, quality managers, and data scientists seeking to modernize their monitoring strategies through a risk-based lens.
Related Conference of Risk-Based Monitoring
Risk-Based Monitoring Conference Speakers
Recommended Sessions
- Adaptive Trial Models
- Advanced Data Analytics
- AI in Clinical Research
- AI-Powered Pharmacovigilance
- Blockchain Applications
- Clinical Supply Chain Innovation
- Data Integrity & Compliance
- Decentralized Trials
- Digital Therapeutics Trials
- Diversity in Enrollment
- eConsent & Retention Tools
- eSource & EDC Systems
- Global Regulatory Landscape
- Master Protocol Strategies
- Patient-Centric Designs
- Real-World Evidence Integration
- Risk-Based Monitoring
- Synthetic Control Arms
- Virtual Trial Platforms
- Wearables & Remote Monitoring
