Lisa Tomai, M.S., is a senior researcher at L&M Policy Research. She has over 25 years of experience in healthcare research and analytics research in both public and private settings. Ms. Tomai is a proficient SAS programmer, skilled in working with large healthcare claims and administrative databases, including Medicare, Medicaid, Worker’s Compensation, and commercial insurance.
Recently, she led an in-depth analysis of Medicare telehealth reimbursement policy before, during, and after COVID-19 PHE declaration, modeling the impact of potential CMS payment policy changes under varying parameters. Ms. Tomai’s ongoing contributions combine database development with quantitative analytics to evaluate federal and state programs related to innovative health care delivery and alternative payment models. Specific projects include exploring the relationship between beneficiary health, socioeconomic characteristics, Part D plan access, and beneficiary out-of-pocket costs under the Health Plan Innovation Models and Direct Contracting Part D Senior Savings Model; comparative analysis of patient populations and patterns of care for 340B-participating and non-participating hospitals; and examination of Medicaid claims and encounter data to assess population healthcare cost disparities for CMS’s Office of Minority Health.
Before joining L&M, Ms. Tomai led an integrated team supporting the State of Maryland All-Payer Alternative Payment Model, an innovative program designed to reduce state hospital expenditures and improve patient health outcomes. Ms. Tomai has extensive experience working in the Chronic Condition Warehouse (CCW) within the CMS Virtual Research Data Center (VRDC).
Over her career, Ms. Tomai gained experience with diverse payment models involving ACOs and beneficiary attribution, primary care medical homes, and value-based payment systems. Ms. Tomai holds a Master of Science in Public Policy Analysis from the University of Rochester.