Annaliese Johnson is a Senior Manager of AcademyHealth’s Evidence-Informed State Health Policy Institute, where she supports numerous state-focused networks and projects. Through the Medicaid Data Learning Network (MDLN), Annaliese facilitates peer-to-peer learning and discussion among researchers using CMS T-MSIS Analytic files. She similarly facilitates learning among members of the State University Partnership Learning Network (SUPLN), which supports evidence-based state health policy and practice, focusing on Medicaid-based healthcare. Annaliese also works with the Medicaid Outcomes Distributed Research Network (MODRN), facilitating cross-state Medicaid analyses to inform Medicaid policy and program decisions, as well as a project with the Health Resources and Services Administration (HRSA) on state capacity for Medicaid core set reporting. Annaliese earned an M.P.P. from American University’s School of Public Affairs and a B.A. from Rutgers University in Cultural Anthropology and History. Prior to Joining AcademyHealth, Annaliese worked at Altarum Institute’s Healthcare Value Hub as a Policy Analyst and Manager, performing state-level survey work and research focused on health care affordability, value, and equity. Her experience stretches into public affairs, strategic policy communications, health care access, and reproductive health and rights, having worked for numerous organizations with missions focused in these areas.

Authored by Annaliese Johnson, M.P.P.

Blog Post

New Research Will Provide Insights into the Behavioral Health Workforce and the Services They Provide

AcademyHealth is highlighting four new projects at the UNC Behavioral Health Workforce Research Center to address the strategic aims of the Health Resources and Services Administration (HRSA) and the Substance Abuse and Mental Health Services Administration (SAMHSA).
Posted By Annaliese Johnson, M.P.P.

Catalyzing Medicaid Policy Research with T-MSIS Analytic Files (TAF): Learnings from Year 1 of the Medicaid Data Learning Network (MDLN)

In its first year, the Medicaid Data Learning Network (MDLN) facilitated expert presentations and collaboration among TAF experts and member research teams by hosting an in-person meeting at AcademyHealth's Annual Research Meeting (ARM) and eight virtual learning sessions. This publication presents a summary of the findings from the first year of the Medicaid Data Learning Network, including key takeaways for the research and policy communities from each learning session.