Exploration and Practice of Constructing a Structured Specialized Disease Database Based on NLP for Medical Records
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.
natural language processing(NLP)structured electronic medical records(EMR)specialized disease database
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