Speaker Profile

Ph.D., M.P.H., VP Health Economics and Outcomes Research, OptumLabs at UnitedHealth Group

Biography
Stacey DaCosta Byfield currently leads the Genomics Health Economics and Outcomes Research (HEOR) Team focused on conducting observational research studies using administrative claims, EHR/medical record data and other data sources, including laboratory results data.  Stacey joined UnitedHealth Group (UHG) in 2009 in the OptumInsight Life Sciences HEOR group where she started as a Senior Researcher focusing on oncology studies.  She later served as VP, Research of the Life Sciences HEOR group before moving to OptumLabs were she led the Data Scientist team and most recently the Oncology Focus Area Research Team. Prior to joining UHG, she worked in the Department of Drug Use Policy and Pharmacoeconomics at the University of Texas M.D. Anderson Cancer Center as a Pharmacoeconomics Research Specialist. In this capacity, her main responsibilities included developing research designs to evaluate clinical, economic and humanistic outcomes of pharmaceutical products and services. She holds a PhD in Tumor Biology from Georgetown University and completed a basic science fellowship at the National Cancer Institute where her work focused on identifying targets of pharmaceutical intervention for metastatic breast cancer. Stacey also received her MPH with a concentration in clinical effectiveness from the Harvard T. H. Chan School of Public Health and has completed the Program in Cancer Outcomes Research Training (PCORT) Fellowship, a jointly sponsored program by the Massachusetts General Hospital and the Dana-Farber Harvard Cancer Center in Boston, Massachusetts.


 Session Abstract – PMWC 2022 Silicon Valley


Track Chair:
Keith Yamamoto, 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:

  • Realizing the Promise of Precision Medicine Using Real-world Evidence
    Session Chair: Atul Butte, UCSF
    - James Wall, Stanford
    - Nancy A. Dreyer, IQVIA
    - Mark Laabs, RCRF
    - John Concato, FDA
    - Rhonda Cooper-DeHoff, University of Florida
  • Opportunities and Challenges in Using Real World Data (RWD)
    Session Chair: Vivek Rudrapatna, UCSF
    - Kathy Giacomini, UCSF
  • How Are Patient Data Revolutionizing Precision Medicine?
    Session Chair: Clara Lajonchere, UCLA
    - Sharon Terry, Genetic Alliance
    - Farid Vij ,Ciitizen
    - Latha Palaniappan, Stanford
  • Regulatory Requirements and Challenges for Using RWE
    Session Chair: Sheila Walcoff, Goldbug Strategies
  • Government Partnerships: California Initiative to Advance Precision Medicine
    Session Chair: Julianne McCall, California Initiative to Advance Precision Medicine
    - Pablo Tamayo, UCSD
    - George M. Slavich, UCLA
  • Leveraging RWE to Create Value
    Session Chair: Kathryn A. Phillips, UCSF
    - Phil Febbo, Illumina
    - Suzanne Belinson, Tempus
    - Patricia Deverka, UCSF
    - Stacey Dacosta Byfield, OptumLabs
  • The Past, Present, and Future of RWE
    Session Chair: Keith Yamamoto, UCSF
    - Matthew Porteus, Stanford