A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.
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®, an open source data warehouse oriented toward clinical narrative reports an...
| Publicado en: | Journal of Biomedical Informatics Vol. 80; pp. 52 - 64 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Apr2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128804837&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128804837 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Apr2018 vid: 80 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 128804837 128804837 NLM29501921 128804837 10.1016/j.jbi.2018.02.019 NLM29501921 128804837 ppf: 52 ppct: 12 formats: tig: atl: A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse. aug: au: Garcelon, Nicolas Neuraz, Antoine Salomon, Rémi Faour, Hassan Benoit, Vincent Delapalme, Arthur Munnich, Arnold Burgun, Anita Rance, Bastien affil: Institut Imagine, Paris Descartes Université Paris Descartes-Sorbonne Paris Cité, Paris, France sug: subj: Software Medical Informatics Methods Bioinformatics Data Mining Human Personal Satisfaction Narratives Natural Language Processing Disease Attributes Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: 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®, 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 UMLS® 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 link https://github.com/imagine-bdd/DRWH. A demonstration based on PubMed abstracts is available at https://imagine-plateforme-bdd.fr/dwh_pubmed/. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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