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Shriram Parashuram

Pronouns: He/Him

Program Area Director
Shriram steers NORC’s efforts in conducting data-driven policy evaluations and applied health economics research.

Shriram directs NORC’s Applied Health Economics program area. He has over 18 years of experience in health services research, policy analysis, and health care management. Shriram leads multidisciplinary teams to monitor and evaluate innovative approaches to health care delivery & payment.

Shriram focuses on studying the consequences and cost of healthcare, by applying rigorous quantitative methods to secondary and primary data. His expertise in program evaluation, outcomes research, and quality & efficiency measurement stem from over a decade of experience across multiple projects for the U.S. Department of Health and Human Services. Shriram currently leads the quantitative evaluation of the Next Generation Accountable Care Organization (ACO) and ACO Realizing Equity, Access, and Community Health (REACH) models for the Centers for Medicare & Medicaid Services. Previously he led the assessment of impacts for 41 Health Care Innovation Award grantees. In these evaluations, Shriram integrates innovative quasi-experimental study designs, with exhaustive data analytic methods, to provide important insights to decision makers on the success and scalability of proposed policies within the context of a complex healthcare system. Shriram has published in several peer-reviewed journals including  Health Affairs, JAMA, Health Economics, and Medical Care.

Shriram’s research acumen was shaped by his formative experience in health systems management at tertiary care charity hospitals in India. His prior and concurrent work span a range of important areas for health care reform including alternate payment models for providers in community and hospital settings, impact of newer models of accountable care, delivery of community-based long-term care, exchange of health information via technology, and impact of innovative approaches to care for complex high-risk populations and patients with chronic conditions.