Lack of patient accrual into clinical trials remains a challenge and is often due to failures in study design. I would like to personally invite you to a mini webinar on using real-world data and AI technologies that draw directly from clinical and site data to rapidly iterate during the study design process – for studies that result in more successful patient enrollment rates. 

 Jamie Powers, DrPH and principal data scientist at ConcertAI, will drill down into how clinical and site RWD combined with AI/ML are accelerating study designs that are aligned to standard of care and integrated with site-level patient volumes and research capabilities. 

This webinar will feature our recently launched Digital Trial Optimization SaaS solution, which uses powerful oncology real-world data combined with AI-enabled technologies.. This is the fourth in a series of short webinar practicums that illustrate how real-world data and technology solutions in oncology are supporting novel study designs. 

Oncology Clinical Study Optimization Solutions: Optimize Study Design for Patient Enrollment

Mar 9, 202110:00am EST20 minutes

What you will learn:

  • Ensuring studies are aligned to standard of care for reduced burden
  • Optimizing inclusion/exclusion criteria for broader eligibility and enrollment
  • Including site-level data for protocols optimized for patient enrollment and retention
  • Examination of study trade-offs to simulate different scenarios
  • Rapid iteration for clinical strategy and study design 

Who should attend:

  • Clinical researchers focused on oncology RWD and clinical trial design and feasibility

  • Clinical trial feasibility analysts looking to expand traditional site footprints and increase patient diversity in oncology trials

  • R&D leaders looking for advanced RWE methodologies and technologies

  • RWE Center of Excellence leaders focused on driving enterprise efficiencies at scale

About the Speaker

Jamie Powers, DrPH, has over 15 years experience at the intersection of real-world data, predictive analytics, and technology solutions for clinical trials. He has worked as a data scientist and consultant in life sciences. In his previous roles with Cambridge Semantics, PerkinElmer, SAS, and IQVIA, Jamie brought data science, AI and machine learning, and SaaS technologies to improve outcomes. At ConcertAI, Jamie brings his comprehensive technical and strategic acumen to also improve outcome and drive innovation for customers. His passion for innovation in data science and oncology research helps him deliver valuable data and technology insights. Jamie has a DrPH in biostatistics and epidemiology from the University of North Carolina at Chapel Hill.