A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse

被引：104

作者：

Garcelon, Nicolas ^{[1
,2
]}

Neuraz, Antoine ^{[2
,3
]}

Salomon, Remi ^{[1
,4
]}

Faour, Hassan ^{[1
]}

Benoit, Vincent ^{[1
]}

Delapalme, Arthur ^{[1
]}

Munnich, Arnold ^{[1
,5
,6
]}

Burgun, Anita ^{[2
,3
]}

Rance, Bastien ^{[2
,7
]}

机构：

[1] Paris Descartes Univ Paris Descartes, Sorbonne Paris Cite, Inst Imagine, Paris, France

[2] Univ Paris 05, Sorbonne Paris Cite, Ctr Rech Cordeliers, INSERM,UMR 1138,Equipe 22, Paris, France

[3] Hop Necker Enfant Malad, AP HP, Dept Med Informat, Paris, France

[4] Univ Paris 05, Sorbonne Paris Cite, Hop Necker Enfant Malad, AP HP,Serv Nephrol Pediat, Paris, France

[5] Univ Paris 05, Sorbonne Paris Cite, Hop Necker Enfant Malad, AP HP,Dept Genet Med, Paris, France

[6] Paris Descartes Sorbonne Paris Cite Univ, Lab Bases Mol & Physiopathol Ostiochondrodysplasi, Ctr Reference Malad Osseuses Constitut, INSERM,UMR 1163,AP HP,Inst Imagine, F-75015 Paris, France

[7] Univ Paris 05, Sorbonne Paris aite, AP HP, Hop Europeen Georges Pompidou, Paris, France

来源：

JOURNAL OF BIOMEDICAL INFORMATICS | 2018年 / 80卷

关键词：

Software; Computational biology; Method; Data warehouse; Rare diseases; Electronic health records; Information storage and retrieval; Text-mining; EXTRACTION SYSTEM; ENTERPRISE; INFORMATICS; UNIVERSITY; RETRIEVAL; RECORD; CORPUS; TEXT;

D O I：

10.1016/j.jbi.2018.02.019

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Introduction: Clinical data warehouses are often oriented toward integration and exploration of coded data. However narrative reports are of crucial importance for translational research. This paper describes Dr. Warehouse (R), an open source data warehouse oriented toward clinical narrative reports and designed to support clinicians' day-to-day use. Method: Dr. Warehouse relies on an original database model to focus on documents in addition to facts. Besides classical querying functionalities, the system provides an advanced search engine and Graphical User Interfaces adapted to the exploration of text. Dr. Warehouse is dedicated to translational research with cohort recruitment capabilities, high throughput phenotyping and patient centric views (including similarity metrics among patients). These features leverage Natural Language Processing based on the extraction of UMIS (R) concepts, as well as negation and family history detection. Results: A survey conducted after 6 months of use at the Necker Children's Hospital shows a high rate of satisfaction among the users (96.6%). During this period, 122 users performed 2837 queries, accessed 4,267 patients' records and included 36,632 patients in 131 cohorts. The source code is available at this github linkhttps://github.com/imagine-bdd/DRWH. A demonstration based on PubMed abstracts is available at https://imagine-plateforme-bdd.fr/dwh_pubmed/

引用

页码：52 / 63

页数：12

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