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

Sébastien Cossin; Luc Lebrun; Niamkey Aymeric; Fleur Mougin; Mathieu Lambert; Gayo Diallo; Frantz Thiessard; Vianney Jouhet

doi:10.3233/SHTI190476

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

Stud Health Technol Inform. 2019 Aug 21:264:1445-1446. doi: 10.3233/SHTI190476.

Authors

Sébastien Cossin^{1

2}, Luc Lebrun^{1

2}, Niamkey Aymeric^{1

2}, Fleur Mougin^{1

2}, Mathieu Lambert³, Gayo Diallo^{1

2}, Frantz Thiessard^{1

2}, Vianney Jouhet^{1

2}

Affiliations

¹ Bordeaux Hospital University Center, Pôle de santé publique, Service d'information médicale, Unité Informatique et Archivistique Médicales, F-33000 Bordeaux, France.
² Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, team ERIAS, UMR 1219, F-33000 Bordeaux, France.
³ Bordeaux Hospital University Center, Pôle spécialités médicales, Service de médecine post-urgences.

PMID: 31438173
DOI: 10.3233/SHTI190476

Abstract

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.

Keywords: Electronic Health Records; Information Storage and Retrieval; User-Computer Interface.

MeSH terms

Data Warehousing*
Electronic Health Records
Information Storage and Retrieval*