Meg Maxwell
Health

Meg Maxwell

Senior Managing Consultant

Meg Maxwell’s work focuses on collecting, using, and improving federal Medicaid data. She has experience working directly with states to improve the quality of their Transformed Medicaid Statistical Information System (T-MSIS) data and helped the Center for Medicaid and CHIP Services set up a process to collect, monitor, and visualize data from states following the end of the COVID-19 public health emergency (PHE). She also has extensive experience developing technical assistance tools and virtual events for a range of audiences.

For the Medicaid and CHIP Learning Collaboratives project, Maxwell leads a team of data product designers, managers, and state technical assistants to help states address pending eligibility and enrollment actions following the end of the PHE; this work includes developing an unwinding data collection template, portal, and dashboard and responding to state support requests via a help desk. Maxwell also has experience providing technical assistance on both Medicare and Medicaid projects. For the Medicaid and CHIP Business Information Solution project, Maxwell provided technical assistance to states as they investigated and corrected issues with their T-MSIS data.

In the area of data quality, Maxwell led a team that received, validated, and informed states of data quality issues reported by T-MSIS data users, helped states make large system enhancements to their T-MSIS reporting systems, and led T-MSIS national webinars. For the Learning Systems for Accountable Care Organizations project, Maxwell was the task lead of the learning system for the Comprehensive End-Stage Renal Disease Care model, developed by the Centers for Medicare & Medicaid Services’ Innovation Center, and she provided technical assistance to dialysis organizations participating in the model.

She holds an M.P.P. from the University of Chicago’s Harris School of Public Policy.

Expertise
  • Medicaid and CHIP data
  • Technical assistance
  • Data quality
  • Learning systems and collaboratives
Focus Area Topics
  • Health
  • Medicaid and CHIP

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