The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease

Author:

Jannot Anne-Sophie123ORCID,Messiaen Claude1,Khatim Ahlem1,Pichon Thibaut1,Sandrin Arnaud1,

Affiliation:

1. Banque Nationale de Données Maladies Rares, DSI-I&D, APHP, Paris, France

2. Université de Paris, Paris, France

3. HeKA team, Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris, Paris, France

Abstract

Abstract Background BaMaRa allows the secure collection and deidentified centralization of medical data from all patients followed-up in a rare disease expert network in France, based on a minimum data set (SDM-MR). The present article describes BaMaRa information system implementation and development across the whole national territory as well as data access requests through BNDMR, the data warehouse which centralizes all BaMaRa data, during the 2015–2020 period. Materials and Methods SDM-MR is made up of 60 interoperable items and is routinely collected through BaMaRa in rare disease centers as part of care and discharged into BNDMR after deidentification and data reconciliation. Data access is regulated by a scientific committee. Results In total, 668 002 affected patients had an SDM-MR recorded in BNDMR by the end of 2020 with a mean value of 3.4 activities per patients. Data access was provided for 66 projects. Conclusion The BaMaRa-BNDMR infrastructure provides an administrative and epidemiological resources for rare diseases in France.

Funder

French Ministry of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference19 articles.

1. Value of a national administrative database to guide public decisions: from the système national d’information interrégimes de l’Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France;Tuppin;Rev Epidemiol Sante Publique,2017

2. Rare diseases in ICD11: making rare diseases visible in health information systems through appropriate coding;Aymé;Orphanet J Rare Dis,2015

3. [Inaugural conference—what stakes face rare diseases in the French health care system];Péton-Klein;Med Sci,2014

4. CEMARA: a Web dynamic application within a N-tier architecture for rare diseases;Messiaen;Stud Health Technol Inform,2008

5. CEMARA an information system for rare diseases;Landais;Stud Health Technol Inform,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3