Automated Decision Making

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January 31, 2024
Explainer: FTC Complaint Requests Investigation into Deloitte’s Texas Medicaid Eligibility System
Elizabeth Edwards, Sarah Grusin, and Cassandra LaRose Issue Brief, Fact Sheet, Case Explainer
Hundreds of thousands of Texas Medicaid enrollees have been harmed by wrongful terminations and other errors in the state’s automated eligibility system developed by contractor Deloitte Consulting LLP (Deloitte), a new complaint to the Federal Trade Commission (FTC) alleges. The complaint filed by the National Health Law Program (NHeLP),…
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December 5, 2023
NHeLP Comments on OMB Draft Artificial Intelligence Memorandum
Cassandra LaRose and Elizabeth Edwards Comments
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November 15, 2023
Comments on Section 504 Proposed Rules: Discrimination on the Basis of Disability in Health and Human Services
Jennifer Lav, Dania Douglas, Elizabeth Edwards, Charly Gilfoil, David Machledt, Madeline Morcelle, Carly Myers, Michelle Yiu, and Daniel Young Comments
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September 21, 2023
NHeLP’s Comments on “Exploring Congress’ Framework for the Future of AI”
Cassandra LaRose and Elizabeth Edwards Comments
NHeLP submitted comments in response to Ranking Member Cassidy's Health, Education, Labor & Pensions white paper, "Exploring Congress Framework for the Future of AI." The comments highlight the need to expand consideration of Congressional action on AI to include all technology used to make decisions or assist in making…
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August 3, 2023
Recent Filing in Lawsuit Describes Medicaid Unwinding Harms in Tennessee
Sarah Grusin and Elizabeth Edwards Issue Brief, Fact Sheet, Case Explainer
Medicaid enrollees in Tennessee filed a lawsuit challenging the bureaucratic maze they have to navigate when trying to renew their Medicaid coverage under TennCare (Tennessee's Medicaid program). The case, A.M.C. v. Smith, was brought by the National Health Law Program, Tennessee Justice Center, National Center for Law & Economic Justice,…
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May 15, 2023
Principles for Fairer, More Responsive Automated Decision-Making Systems
Elizabeth Edwards and David Machledt Issue Brief, Manual/Report, Fact Sheet, Guide, Case Explainer
Many government agencies use automated decision-making systems (ADS) for public benefits coverage and enrollment decisions, including Medicaid. By ADS we mean, broadly, systems that use standardized logic or algorithms to assess eligibility for and access to public benefits. This includes not only sophisticated “big data” systems, such as programs…
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Explainer: FTC Complaint Requests Investigation into Deloitte’s Texas Medicaid Eligibility System

NHeLP Comments on OMB Draft Artificial Intelligence Memorandum

Comments on Section 504 Proposed Rules: Discrimination on the Basis of Disability in Health and Human Services

NHeLP’s Comments on “Exploring Congress’ Framework for the Future of AI”

Recent Filing in Lawsuit Describes Medicaid Unwinding Harms in Tennessee

Principles for Fairer, More Responsive Automated Decision-Making Systems