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Kan Gianattasio

Pronouns: She/Her

Research Scientist
Kan is a quantitative researcher with over a decade of experience in the fields of health policy, epidemiology, and economics.

She is trained in statistics, econometrics, and causal inference, and is experienced in managing and analyzing complex health data, including CMS administrative claims and national survey data. Her subject areas of expertise include dementia, aging, hospice and end-of-life care, and Medicare. 

Kan designs and conducts quantitative analyses for several NORC projects. She is leading analytical work for an NIH-funded grant developing a surveillance system for dementia in the United States using claims data and public survey data sources. She is also a researcher on CMMI evaluations, including the Next Generation Accountable Care Organization (NGACO) model, Pennsylvania Rural Health Model (PARHM), and ACO REACH model evaluations.

Education

PhD

George Washington University

MPP

George Washington University

BS

Duke University

Project Contributions

Evaluation of the Next Generation Accountable Care Organization Model

Assessing an innovative model to reduce Medicare costs

Client:

Center for Medicare & Medicaid Innovation within the Centers for Medicare & Medicaid Services

Evaluation of the Pennsylvania Rural Health Model

Assessing efforts to improve the financial health of rural hospitals and maintain access to care

Client:

Center for Medicare & Medicaid Innovation within the Centers for Medicare & Medicaid Services

Understanding California’s Middle-Income Older Adult Population

California’s middle-income seniors projected to grow to 1.6M by 2033

Client:

The SCAN Foundation, West Health

Evaluation of the ACO REACH Model

Evaluating the ACO REACH model that is transitioning Medicare from fee-for-service to value-based care

Client:

Center for Medicare & Medicaid Innovation within the Centers for Medicare & Medicaid Services

Publications