Holistic Clinical Data Transformation: Setting the Stage for AI-Driven Productivity
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The clinical trial landscape is becoming more complex every day, with adaptive and innovative trial designs, increasing data volume and variety, and operational challenges.
Addressing these interconnected dimensions of complexity by optimizing people, process, and technology is vital to assure data quality, successful trial outcomes and R&D (Research and Development) productivity.
Key Takeaways
Innovative trials like master protocols, especially common in oncology and rare diseases, require deep expertise across the data life cycle to ensure flexibility and accommodate adaptations.
With accelerating data complexity, alongside technology adoption, sponsors can benefit from process improvements to streamline data workflows and support standardization.
Embracing an innovative and flexible mindset, alongside advanced analytics and AI/ML applications will allow organizations to prepare for future trial complexities.
Real-world examples highlight how elluminate and Biometrics Services address specific complex trial challenges, leading to significant time and cost savings.
