Innovation & Change Management Track

Clinical research leaders and teams will be empowered to champion innovation, drive change, and shape the future of clinical trial strategy and execution.

 
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Implementing Generative AI for Improved Clinical Research Workflows
Risk-Averse or Recklessly Traditional?: Considering the Cognitive Dissonance of Clinical Research
Clinical Research in Primary Care: From Disconnection to Integration
Sponsor Perspectives on Developing Innovative Participant Recruitment Strategies for Trials
AI in Clinical Research: Real-World Impacts on Protocols, Participants, and Trial Conduct
AI at the Helm: Shaping the Future of Oncology Clinical Research
Equipping Your Decentralized Clinical Trials Toolbox
Innovative Approaches to Oncology Trials: Site Perspectives
Leading eClincial Transitions: The Future-Ready Site
Getting to Yes: How Sites Can Use Their Preferred Technology in Trials
Optimizing Site Resources and Data Quality Through Focused Enrollment Blocks
Transforming Workflows for Protocol Activation and Study Lifecycle Management
Community Engagement in Observational Studies for Rural and Small Sites
Getting to Database Lock Challenges, Solutions, and Lessons Learned
Site-First eSource: Practical Strategies for EHR-to-EDC Adoption
Clean Data: Signed, Sealed, and Delivered
Applying Artificial Intelligence to Site Selection and Feasibility
Digitally Driven Compliance: Transforming Clinical Research Operations Through Informatics Integration
Source Data Verification in the Age of AI