Clinical trials should effectively deliver on patient well-being, treatment efficacy, and effective execution—even as the volume and complexity of trial data grows. The challenge for many organizations in this work is updating or accelerating manual processes and addressing an overreliance on institutional knowledge versus data-driven insights.
PwC has demonstrated through experience that most of these issues can be addressed during the clinical trial design phase with the use of automation and artificial intelligence (AI)-enabled insights. Working with Amazon Web Services (AWS), PwC built an integrated data and analytics platform that uses machine learning (ML) models and an intuitive user interface to enhance study design and planning.
With access to insights from historical clinical trial data and real-world evidence, PwC clients can make more informed decisions across the clinical trial design lifecycle and execute trials faster, more effectively, and with better patient outcomes.