Organization: Benefits Data Trust
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Digitizing Policy + Rules as Code Benefits Data Trust Demo at the Cross-Sector Rules as Code Roundtable
In this video, Benefits Data Trust Senior Product Manager Daniel Singer and Software Engineering Manager Preston Cabe present their eligibility screening platform including their rules engine, API, and DMN rules notation. The Cross-Sector Rules as Code Roundtable on February 22, 2024 was hosted by Rules as Code Community of Practice at the Digital Benefits Network.
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Medicaid Strategies Making a Difference: A Spotlight on Rhode Island
Sharing lessons learned via the Medicaid Churn Learning Collaborative, which is working to reduce Medicaid churn, improve renewal processes for administrators, and protect health insurance coverage for children and families.
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Data Benefits Access for Student Success: A Toolkit For Leveraging Data to Find Eligible Students
Each year, millions of college students struggle to pay for their education and basic needs, including food, childcare, housing, healthcare, and internet service. Among those students are a disproportionate number of first-generation students and students of color. This toolkit aims to build institutional capacity to enable all students to put food on the table, improve health outcomes, focus on school, and graduate.
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Data Data Coordination at SNAP and Medicaid Agencies: A National Landscape Analysis
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits. Between June and August of 2022, BDT and CHCS collected 114 survey responses from Medicaid and SNAP programs in 46 states and the District of Columbia.
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Data Data Sharing to Build Effective and Efficient Benefits Systems: A Playbook for State and Local Agencies
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike. It is a step-by-step guide to conducting smooth and efficient data sharing projects that are permissible and secure.
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Data Ex Parte Options and Recommendations for the non-MAGI Medicaid Population to Reduce Churn
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
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Data Effective Strategies to Collect Address Changes from Medicaid Beneficiaries via State Websites
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing strategies for states to collect current mailing addresses of Medicaid beneficiaries in advance of the Medicaid continuous coverage requirement — in effect under the federal public health emergency — unwinding.
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Data Toolkit: Increasing WIC Coverage Through Cross-Program Data Matching and Targeted Outreach
This toolkit is designed to help state and local WIC agencies leverage data from Medicaid and SNAP to measure enrollment gaps and increase enrollment using tools to plan, launch, and/or strengthen data matching and targeted outreach to eligible families who are not receiving WIC benefits.
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BenePhilly SNAP Demonstration Project
The BenePhilly SNAP Demonstration Project (henceforth “BenePhilly”) represents an innovative and successful approach to streamlining access to public benefits. It sought to increase participation in SNAP among eligible senior households in Philadelphia by utilizing existing state and federal data to reach seniors who are likely eligible for, but not participating in, SNAP, as well as simplify the SNAP application and enrollment process. This report summarizes preliminary findings from BenePhilly’s 18 months of operation (June 2010–December 2011).
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An Early Look at the Impacts of the Response to COVID-19 on Medicaid Churn
Given that the effects of the COVID-19 crisis will likely last for a while, it is crucial that states continue to prioritize coverage continuity to further improve the overall health outcomes of their enrollees and reduce administrative burden.
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Guardrails: Automated SNAP Recertification Assistance
GuardRails is an experimental new approach to streamline the annual SNAP recertification process by leveraging targeted text messaging and automated voice messages in multiple languages to “nudge” people at the right time with the right information to help them through the recertification process.
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Medicaid Churn Toolkit
Benefits Data Trust (BDT) has developed this “Medicaid Churn Toolkit” to guide Medicaid agencies and their partners in the design and implementation of efforts to reduce churn as they plan for the resumption of normal eligibility and enrollment actions after the after the initial COVID shock.