Extraction and standardization of patient complaints from electronic medication histories for pharmacovigilance: Natural language processing analysis in Japanese

Misa Usui, Eiji Aramaki, Tomohide Iwao, Shoko Wakamiya, Tohru Sakamoto, Mayumi Mochizuki

研究成果: Article査読

11 被引用数 (Scopus)

抄録

Background: Despite the growing number of studies using natural language processing for pharmacovigilance, there are few reports on manipulating free text patient information in Japanese. Objective: This study aimed to establish a method of extracting and standardizing patient complaints from electronic medication histories accumulated in a Japanese community pharmacy for the detection of possible adverse drug event (ADE) signals. Methods: Subjective information included in electronic medication history data provided by a Japanese pharmacy operating in Hiroshima, Japan from September 1, 2015 to August 31, 2016, was used as patients' complaints. We formulated search rules based on morphological analysis and daily (nonmedical) speech and developed a system that automatically executes the search rules and annotates free text data with International Classification of Diseases, Tenth Revision (ICD-10) codes. The performance of the system was evaluated through comparisons with data manually annotated by health care workers for a data set of 5000 complaints. Results: Of 5000 complaints, the system annotated 2236 complaints with ICD-10 codes, whereas health care workers annotated 2348 statements. There was a match in the annotation of 1480 complaints between the system and manual work. System performance was .66 regarding precision, .63 in recall, and .65 for the F-measure. Conclusions: Our results suggest that the system may be helpful in extracting and standardizing patients' speech related to symptoms from massive amounts of free text data, replacing manual work. After improving the extraction accuracy, we expect to utilize this system to detect signals of possible ADEs from patients' complaints in the future.

本文言語English
論文番号e11021
ジャーナルJMIR Medical Informatics
20
9
DOI
出版ステータスPublished - 2018 9月

ASJC Scopus subject areas

  • 健康情報学
  • 健康情報管理

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