Speaker Profile

Ph.D., Professor of Health Economics and Founding Director, UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, UCSF
Biography

Kathryn Phillips examines how new technologies can be effectively and efficiently translated into clinical care and health policy. A particular focus is reimbursement policies and economic analyses of precision medicine. Current project include an R01 on benefit/risk tradeoffs for multigene tests; the value of precision medicine and digital medicine in a global context (supported by the Rockefeller Foundation); and a review of comparative effectiveness research on precision medicine (with PCORI). Her work spans multiple disciplines, including basic, clinical and social sciences, and brings together leading experts from academia, industry, insurers, and government. Kathryn has published >130 articles in major journals (e.g., JAMA, New England Journal of Medicine, Health Affairs) and has had continuous funding as an NIH Principal Investigator for >25 years. She serves on the editorial boards for Health Affairs and leading journals on precision medicine, and has served as an advisor to >35 biotechnology and venture capital firms.

Talk

Reimbursement for Multigene Tests: The Good, The Bad, and The Ugly
Reimbursement is critical to the adoption of new genomic technologies. We will discuss new findings from a unique Payer Coverage Policy Registry that examines what multigene tests are covered and the evidence used in coverage decisions. We will report lessons learned from case studies of tests covered or not covered.

Session Abstract – PMWC 2017 Silicon Valley

Session Synopsis: Adoption and insurer coverage of precision medicine will require evidence that it improves patient outcomes. In this session, we will discuss progress toward achieving research that produces more personalized evidence for more personalized care, consistent and predictable insurer coverage of precision medicine, and next steps towards improving clinical evidence.

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