1.
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.