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- May 16, 2023
NHeLP’s Automated Decision-Making Principles in Medicaid Continuous Coverage Unwinding
Read moreNHeLP’s Principles for Fairer, More Responsive Automated Decision-Making Systems outline how to realize the benefits of Automated Decision-Making Systems (ADS) while minimizing drawbacks. Many government agencies use ADS for Medicaid eligibility decisions. During the unwinding of the Medicaid continuous coverage period Medicaid eligibility ADS and related processes will be…
- July 14, 2021
Race-Based Prediction in Pregnancy Algorithm Is Damaging to Maternal Health
Read moreIn today’s fast-paced health care system, algorithms are ubiquitous, and the provision of maternity care is no different.
- June 30, 2021
A Promise Unfulfilled: Automated Medicaid Eligibility Decisions
Read moreStates have spent millions of dollars building Medicaid eligibility systems that promise automated, real-time, and accurate eligibility decisions. This is a worthy goal because unnecessary paperwork burdens cause eligible individuals to lose coverage for failure to complete forms. The promise of automated eligibility determinations, however, is often not realized…
- June 22, 2021
Limited Data Collection for LGBTQI+ Health Promotes Bias
Read moreSkyInclusive questions about sexual orientation, gender identity, and intersex individuals (SOGII) help identify and address the diverse health needs of LGBTQI+ populations and mitigate health disparities, especially when co-analyzed with race, disability, language, behaviors and other data. SOGII data collection also allows covered entities, such as social services agencies,…
- June 14, 2021
Preventing Harm from Automated Decision-Making Systems in Medicaid
Read moreAlgorithms and other automated decision-making systems (ADS) are omnipresent features of today’s Medicaid systems. While there are some advantages to automated decisions, the idea that such decisions are free from bias or error is false. Humans are behind the design, programming, and ultimate decisions on what to do with…
