Benefits Program: Medicaid/CHIP
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Human-Centered Design 
Integrated Benefits Initiative: Best Practices in Texting
Code for America offers government agencies a general overview of getting started with implementing text messaging services for clear, responsive communication during the COVID-19 pandemic.
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Data 
Fast Track: A quicker road to Medicaid enrollment
Fast Track is an efficient, inexpensive enrollment option to enroll eligible individuals in Medicaid using data the state already has on hand from other applications. Through Fast Track, states can use TANF, SNAP, and LIHEAP data to determine eligibility and quickly enroll large numbers of individuals.
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Human-Centered Design 
Administrative Burden: Policymaking By Other Means
This book is an in-depth exploration of federal programs and controversial legislation demonstrating that administrative burden has long existed in policy design, preventing citizens from accessing fundamental rights. Further discussion of how policymakers can minimize administrative burden to reduce inequality, boost civic engagement, and build an efficient state.
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NYC Benefits Platform: Benefits and Programs Dataset
Data provided by the NYC Mayor’s Office for Economic Opportunity regarding benefit, program, and resource information for over 80 health and human services available to NYC residents in all eleven local law languages.
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Opportunities to Streamline Enrollment Across Public Benefit Programs
Data-sharing across public benefits programs can help enroll low-income people into other benefits for which they qualify. This guide helps local policymakers and program officials identify opportunities under federal law to streamline the application and enrollment process.
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Communications 
LA’MESSAGE Demo and Scripts
LA’MESSAGE is a one-way text messaging service developed by Code for America in partnership with Louisiana to broadcast reminders and guidance to residents enrolled in and eligible for SNAP, Medicaid, TANF, and WIC at key points throughout the benefits enrollment and renewal process.