Vivek Rudrapatna is a physician and a clinical data scientist. His research group works on developing new methods for analyzing electronic health records and other large datasets to uncover realworld evidence on treatment effects. Vivek is a practicing gastroenterologist and specializes in the treatment of patients with Inflammatory Bowel Disease (IBD). As a clinician, a researcher, and a patient, he is interested in the study of precision medicine as it pertains to this patient population. His group is working on the development of algorithms to predict which patients may be at greater risk for developing the condition and to optimize treatment selection for IBD patients. He hopes that this work may eventually lead to a future where we can prevent IBD altogether. Vivek received his AB from Harvard (2006), his MDPhD from Mount Sinai (2014), internal medicine residency at Baylor College of Medicine (2016), and gastroenterology fellowship at UCSF (2020).
- Courtney McFall, UCSF
- Ben Rubin, UCSF
Patient-centric data – Real-World Evidence (RWE) and Real-World Data (RWD) - is becoming instrumental in the drug development process and for health care decisions in general. This data is not only informative for the process from discovery to new indications, clinical trial design, and drug development, it also can be of value to monitor post-marketing drug safety and for decision support in clinical practice. As the data becomes a decision driver, science companies and medical organizations are increasingly focused on leveraging RWD and RWE to not only better understand the patient populations using their drugs and the respective outcomes, but also to accelerate clinical decision support. This session will focus on the various aspects of integrating RWE and RWD to support drug development and clinical decision support.