Home  >  State Resource Center  >  MAC Learning Collaboratives

Data Analytics to Support Program Operations

The Data Analytics MAC Collaborative brings states together with experts from the Centers for Medicare & Medicaid Services (CMS) to consider how data analytics may be used to evaluate program outcomes, drive continuous improvement, and enhance transparency and accountability. This collaborative is fostering conversation among states and CMS on high-priority outcomes in Medicaid and the Children's Health Insurance Program (CHIP); opportunities and challenges in outcomes measurement; and best practices in using data to evaluate program success and inform policymaking. It has allowed states to participate in the development of draft business process performance standards associated with the enhanced funding available for Medicaid and CHIP IT systems development.

The Data Analytics MAC Collaborative began in January 2012.

Participating States

  • Alabama
  • Arizona
  • California
  • Colorado
  • Georgia
  • Illinois
  • Maine
  • Minnesota
  • New Hampshire
  • South Carolina

Facilitators and Subject Matter Experts

Lead Facilitators

  • David Baugh, Senior Researcher, Mathematica Policy Research
  • Maggie Colby, Researcher, Mathematica Policy Research

Lead Subject Matter Expert

  • Julia Hinckley, Senior Policy Advisor, Office of the Center Director, Center for Medicaid and CHIP Services, Centers for Medicare & Medicaid Services

Resources for States

Database of Publicly Available Medicaid and CHIP Performance Measure Report November 2012

This searchable Excel database provides a snapshot of Medicaid and CHIP performance measures that were reported online by all 50 states and the District of Columbia in Spring 2012 and includes links to more than 500 websites, reports, and other materials dated 2000 through 2012.

A User's Guide to the Database of Publicly Available Medicaid and CHIP Performance Measure Report November 2012

This guide describes the database's potential users, explains its organization, documents the technical methodology used to construct it, and notes its limitations.