Biography
Wanmei Ou is currently a Vice President of Product at Ontada. She is responsible for product roadmap, data science, and data informatics to ensure high quality of data and reproducible methods are delivered to real-world evidence research study and provider-facing clinical decision support applications. Since graduating with a PhD in Computer Science, Wanmei has led multiple enterprise digital initiatives transforming the use of data to enable precision medicine. In her most recent position as a White House Presidential Innovation Fellow. Wanmei led the Veterans Affairs’ data analysis platform and SMART-on-FHIR clinical decision platform. Wanmei was a Director of Outcomes Research and Data Science at Merck, she focused on the generation of real-world evidence through both observational studies and innovation pilots. Prior to Merck, Wanmei was a product strategist at Oracle Healthcare Life Sciences. During this time, she also served on the Health Information Technology Standards Committee at the ONC.
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: