Estimating depression severity in narrative clinical notes using large language models

A foundational LLM performed poorly but consistently across subgroups in imputing PHQ-9 scores from notes when actual PHQ-9 reporting was ablated. This result suggests the extent to which inclusion of PROMs may impoverish documentation of psychiatric symptoms.

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Publication Details

Journal
Journal of Affective Disorders
Published
2025-04-05
DOI
https://doi.org/10.1016/j.jad.2025.04.014
Citations
5
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
6.97

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article

Estimating depression severity in narrative clinical notes using large language models

Thomas H. McCoy, Víctor M. Castro, Roy H Perlis
5 citations
Journal of Affective Disorders
Treatment of Major Depression
6.97
article

Estimating depression severity in narrative clinical notes using large language models

Thomas H. McCoy, Víctor M. Castro, Roy H Perlis
article en
5 citations

Abstract

A foundational LLM performed poorly but consistently across subgroups in imputing PHQ-9 scores from notes when actual PHQ-9 reporting was ablated. This result suggests the extent to which inclusion of PROMs may impoverish documentation of psychiatric symptoms.

Journal of Affective DisordersVol. 381
Massachusetts General Hospital (US)
National Institutes of Health
Quality Education
Openalex Percentile: Top 3%
Treatment of Major Depression
6.97
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