Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.

Kevin Li¹, Ayah Zirikly^2,3, Sarah C Collica¹, Fernando S Goes¹, Congwen Zhao⁴, Trang Nguyen⁵, Jane P Gagliardi⁶, Benjamin A Goldstein⁴, Hwanhee Hong⁴, Elizabeth A Stuart⁵, Peter P Zandi¹

¹Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, 550 N Broadway, Baltimore, MD, 21205, United States, 1 410-614-1923.

²Department of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.

³Department of Computer Science, School of Engineering and Applied Science, George Washington University, Washington, DC, United States.

⁴Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC, United States.

⁵Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

⁶Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, NC, United States.

PubMed DOI

Abstract

BACKGROUND: Real-world psychiatric care is marked by wide heterogeneity in clinical presentations and outcomes, underscoring the need for systematic approaches to outcome measurement. The Clinical Global Impression-Severity (CGI-S) scale is a brief, clinician-rated measure of overall illness severity that is widely used in psychiatric research, but rarely documented in routine care. Large language…

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