Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review

被引：15

作者：

Fu, Sunyang ^{[1
]}

Wang, Liwei ^{[1
]}

Moon, Sungrim ^{[1
]}

Zong, Nansu ^{[1
]}

He, Huan ^{[1
]}

Pejaver, Vikas ^{[2
,3
]}

Relevo, Rose ^{[4
]}

Walden, Anita ^{[4
]}

Haendel, Melissa ^{[5
]}

Chute, Christopher G. ^{[6
]}

Liu, Hongfang ^{[1
,7
]}

机构：

[1] Mayo Clin, Dept AI & Informat Res, Rochester, MN USA

[2] Icahn Sch Med Mt Sinai, Inst Genom Hlth, New York, NY USA

[3] Icahn Sch Med Mt Sinai, Dept Genet & Genom Sci, New York, NY USA

[4] Natl Ctr Data Hlth, Bethesda, MD USA

[5] Univ Colorado Anschutz Med Campus, Ctr Hlth AI, Aurora, CO USA

[6] Johns Hopkins Univ, Dept Med, Baltimore, MD USA

[7] Mayo Clin, Dept AI & Informat, 200 First St SW, Rochester, MN 55905 USA

来源：

CTS-CLINICAL AND TRANSLATIONAL SCIENCE | 2023年 / 16卷 / 03期

关键词：

CLINICAL-RESEARCH; RISK; PERFORMANCE; ADVERSE;

D O I：

10.1111/cts.13463

中图分类号：

R-3 [医学研究方法]; R3 [基础医学];

学科分类号：

1001 ;

摘要：

An increasing number of studies have reported using natural language processing (NLP) to assist observational research by extracting clinical information from electronic health records (EHRs). Currently, no standardized reporting guidelines for NLP-assisted observational studies exist. The absence of detailed reporting guidelines may create ambiguity in the use of NLP-derived content, knowledge gaps in the current research reporting practices, and reproducibility challenges. To address these issues, we conducted a scoping review of NLP-assisted observational clinical studies and examined their reporting practices, focusing on NLP methodology and evaluation. Through our investigation, we discovered a high variation regarding the reporting practices, such as inconsistent use of references for measurement studies, variation in the reporting location (reference, appendix, and manuscript), and different granularity of NLP methodology and evaluation details. To promote the wide adoption and utilization of NLP solutions in clinical research, we outline several perspectives that align with the six principles released by the World Health Organization (WHO) that guide the ethical use of artificial intelligence for health.

引用

页码：398 / 411

页数：14

共 72 条

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