Exploration and Practice of Constructing a Structured Specialized Disease Database Based on NLP for Medical Records

VernacularTitle:基于NLP构建病历后结构化专病数据库探索与实践
Author: Yanan ZHANG ¹ ; Liang DONG ; Ping HE
Author Information

1. 上海中医药大学附属龙华医院上海 200032
Keywords: natural language processing(NLP); structured electronic medical records(EMR); specialized disease database
From: Journal of Medical Informatics 2024;45(9):82-86
CountryChina
Language:Chinese
Abstract: Purpose/Significance To construct a specialized disease database based on structured electronic medical records(EMR),and to improve the standardization and usability of the specialized disease database and improve the efficiency of clinical scien-tific research.Method/Process By using templated input,natural language processing(NLP)and other technologies,unstructured EMR are converted into structured EMR,and a specialized disease database is constructed based on structured EMR.Result/Conclu-sion The psoriasis specialized disease database sub center built by Longhua Hospital based on structured EMR provides clinical research-ers with a structured scientific research data source,assists researchers in improving analysis efficiency,and effectively supports the con-struction of Shanghai Shenkang's"multi center psoriasis specialized disease big data clinical research follow-up integrated platform",which is conducive to the high-quality and large-scale development of specialized disease databases.