Large Language Models for Efficient Mental Health Parity Oversight

20251 citationsJournal Article

Authors

Nathaniel Z. Counts · Department of Health

Abstract

The findings indicate that LLMs currently have a relatively poor PPV in regulatory oversight tasks but may help improve efficiency by enabling rapid identification of potential MHPAEA noncompliance to prioritize areas for further review.

Topics & Keywords

Mental Health via Writing Digital Mental Health Interventions Artificial Intelligence in Healthcare and Education

Publication Details

Published in: Psychiatric Services

Volume 77, Issue 4, pp. 361-364

DOI: 10.1176/appi.ps.20250178

Field-Weighted Citation Impact: 2.39

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Large Language Models for Efficient Mental Health Parity Oversight

Authors

Abstract

Topics & Keywords

Publication Details