Session Abstract – PMWC 2022 Silicon Valley

Track 2, June 28


AI/ML-related healthcare products/services have begun changing the healthcare landscape. Watershed events in AI diagnostics include recent FDA approvals in imaging and data integration and guidance for Software as a Medical Device. What role will AI/ML play and what should criteria be for reimbursement as healthcare pivots to value-base models?

 Session Chair Profile

Ph.D., CSO-CIO, Molecular Stethoscope

Biography
John is a biotechnology Translational Science & Medicine consultant with a comprehensive and deep understanding of the development and application of pioneering molecular procedures to the translation of research-grade biomarker assays into clinical-grade clinically adopted diagnostic tests. John oversaw the translation of an early stage research Next Generation sequencing test to a US government reimbursed and now widely adopted Laboratory Developed CLIA-CAP test for transplanted kidney rejection. He advises commercial translation efforts at Stanford University (SPARK) and University of California in San Francisco (CATALYST).


 Speaker Profile

MD, PHD, Head of Medical Affairs, PathAI

Biography
Erick has been leading Medical Affairs at PathAI for the last two years.  One of his main focuses has been the market access and reimbursement strategy for novel and innovative diagnostics, where he works with internal teams on evidence generation requirements and external stakeholders on advancing coverage and reimbursement for AI-based diagnostics.  Prior to joining PathAI, Erick served as Medical Director and Head of Medical Affairs for the Blue Cross Blue Shield Associations (BCBSAs) health technology assessment group, Evidence Street, as well as the BCBSA medical policy team.  Since completing his pathology residence and molecular genetic pathology fellowship at UCLA, he has engaged with healthcare technology evaluators and payers to facilitate coverage and reimbursement for new healthcare technologies such as next-generation sequencing and novel diagnostics.


 Speaker Profile

M.D., Ph.D., Professor of Medicine, Stanford University; Chief Data Scientist, Stanford Health Care

Biography
Dr. Nigam Shah is Professor of Medicine (Biomedical Informatics) at Stanford University, and serves as the Associate CIO for Data Science for Stanford Health Care. Dr. Shah's research focuses on bringing machine learning to clinical use safely, ethically and cost-effectively. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and was inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.


 Speaker Profile

VP of Global Payor Relations and Reimbursement, Paige

Biography
Shivang Doshi currently serves as the Vice President of Global Payor Relations and Reimbursement at Paige, where he is focused on clinical and economic evidence generation, payor engagement and implementing pathways to drive payor coverage and reimbursement for AI-based diagnostics. Shivang has over 10 years of experiences in the life sciences industry developing global commercialization and market access strategies for numerous diagnostic technologies, including NGS, liquid biopsy, gene expression profiling, companion diagnostics and digital pathology. Previously, Shivang served as the VP of Precision Medicine at Boston Healthcare Associates (now part of Veranex) and conducted drug discovery research at Novartis.