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

ABSTRACT: 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 fo

SUBMITTER: Fu S 

PROVIDER: S-EPMC10014687 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature