应用大型语言模型评估护理质量:监测多动症药物副作用。

IF 6.2 2区 医学 Q1 PEDIATRICS
Yair Bannett, Fatma Gunturkun, Malvika Pillai, Jessica E Herrmann, Ingrid Luo, Lynne C Huffman, Heidi M Feldman
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying Large Language Models to Assess Quality of Care: Monitoring ADHD Medication Side Effects.

Objective: To assess the accuracy of a large language model (LLM) in measuring clinician adherence to practice guidelines for monitoring side effects after prescribing medications for children with attention-deficit/hyperactivity disorder (ADHD).

Methods: Retrospective population-based cohort study of electronic health records. Cohort included children aged 6 to 11 years with ADHD diagnosis and 2 or more ADHD medication encounters (stimulants or nonstimulants prescribed) between 2015 and 2022 in a community-based primary health care network (n = 1201). To identify documentation of side effects inquiry, we trained, tested, and deployed an open-source LLM (LLaMA) on all clinical notes from ADHD-related encounters (ADHD diagnosis or ADHD medication prescription), including in-clinic/telehealth and telephone encounters (n = 15 628 notes). Model performance was assessed using holdout and deployment test sets, compared with manual medical record review.

Results: The LLaMA model accurately classified notes that contained side effects inquiry (sensitivity = 87.2, specificity = 86.3, area under curve = 0.93 on holdout test set). Analyses revealed no model bias in relation to patient sex or insurance. Mean age (SD) at first prescription was 8.8 (1.6) years; characteristics were mostly similar across patients with and without documented side effects inquiry. Rates of documented side effects inquiry were lower for telephone encounters than for in-clinic/telehealth encounters (51.9% vs 73.0%, P < .001). Side effects inquiry was documented in 61.4% of encounters after stimulant prescriptions and 48.5% of encounters after nonstimulant prescriptions (P = .041).

Conclusions: Deploying an LLM on a variable set of clinical notes, including telephone notes, offered scalable measurement of quality of care and uncovered opportunities to improve psychopharmacological medication management in primary care.

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来源期刊
Pediatrics
Pediatrics 医学-小儿科
CiteScore
12.80
自引率
5.00%
发文量
791
审稿时长
2-3 weeks
期刊介绍: The Pediatrics® journal is the official flagship journal of the American Academy of Pediatrics (AAP). It is widely cited in the field of pediatric medicine and is recognized as the leading journal in the field. The journal publishes original research and evidence-based articles, which provide authoritative information to help readers stay up-to-date with the latest developments in pediatric medicine. The content is peer-reviewed and undergoes rigorous evaluation to ensure its quality and reliability. Pediatrics also serves as a valuable resource for conducting new research studies and supporting education and training activities in the field of pediatrics. It aims to enhance the quality of pediatric outpatient and inpatient care by disseminating valuable knowledge and insights. As of 2023, Pediatrics has an impressive Journal Impact Factor (IF) Score of 8.0. The IF is a measure of a journal's influence and importance in the scientific community, with higher scores indicating a greater impact. This score reflects the significance and reach of the research published in Pediatrics, further establishing its prominence in the field of pediatric medicine.
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