Senior Researcher
Lisa Tomai, M.S., is a Senior Researcher at L&M Policy Research. She brings over 25 years of experience in healthcare research and analytics research across public and private sectors. Ms. Tomai is a proficient SAS programmer with expertise in handling large healthcare claims and administrative databases, including Medicare, Medicaid, Worker’s Compensation, and commercial insurance. Ms. Tomai has extensive experience working in CMS’s Chronic Conditions Warehouse Virtual Research Data Center (VRDC). Ms. Tomai currently provides technical and analytical support for a CMS Office of Minority Health (OMH) contract aimed at advancing health equity priorities. She develops relevant content to assist Tribal Epidemiology Center (TEC) data users through regular Learning Sessions, open-format office hours, and one-on-one user support under the Tribal Data Learning Community (TDLC) pilot program. Under a related CMS OMH contract, Ms. Tomai offers technical and analytic guidance to researchers participating in the Minority Research Grant Program (MRGP). Both OMH initiatives focus on customized outreach and engagement efforts to enhance collaborative learning.
In support of CMS’s Medicare Advantage and Prescription Drug Plan (MAPDP) monitoring contract, Ms. Tomai is responsible for complex data compilation and quantitative data analytics Recently, she also led an in-depth analysis of Medicare telehealth reimbursement policy before, during, and after the COVID-19 public health emergency (PHE) declaration, modeling the impact of potential Centers for Medicare & Medicaid Services (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.
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. Over her career, Ms. Tomai has 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.