SmartCRF: A Prototype to Visualize, Search and Annotate an Electronic Health Record from an i2b2 Clinical Data Warehouse

Sébastien Cossin (1) , Luc Lebrun , Niamkey Aymeric , Fleur Mougin (1) , Mathieu Lambert , Gayo Diallo , Frantz Thiessard , Vianney Jouhet

1 BPH - Bordeaux population health

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.

Mots clés: Electronic Health Records; Information Storage and Retrieval; User-Computer Interface

Domaines: Intelligence artificielle [cs.AI]

Sébastien Cossin, Luc Lebrun, Niamkey Aymeric, Fleur Mougin, Mathieu Lambert, et al.. SmartCRF: A Prototype to Visualize, Search and Annotate an Electronic Health Record from an i2b2 Clinical Data Warehouse. Studies in Health Technology and Informatics, 2019, 264, pp.1445-1446. ⟨10.3233/SHTI190476⟩. ⟨hal-02987846⟩