Biography
Rohit Vashisht research includes developing methods to manage and quality control large-scale electronic health record data, and generate real-world evidence in the light of causal inference and machine learning to help inform medical and regulatory decision-making in healthcare.
Track Chair:
- 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.
Sessions: