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Stud Health Technol Inform ; 264: 1445-1446, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31438173

RESUMO

Clinical information in electronic health records (EHRs) is mostly unstructured. With the ever-increasing amount of information in patients' EHRs, manual extraction of clinical information for data reuse can be tedious and time-consuming without dedicated tools. In this paper, we present SmartCRF, a prototype to visualize, search and ease the extraction and structuration of information from EHRs stored in an i2b2 data warehouse.


Assuntos
Data Warehousing , Armazenamento e Recuperação da Informação , Registros Eletrônicos de Saúde
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