Meriem Maaroufi

Meriem Maaroufi

ICT Engineer (Healthcare) / PhD Student

Lieu
France
Secteur
Information Technology and Services

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Meriem Maaroufi's Overview

Current
  • Ingénieur at APHP
Past
  • Stage de fin d'études at Santech
Education
Connections

116 connections

Meriem Maaroufi's Experience

Ingénieur

APHP

Société cotée en bourse; 5 001-10 000 employés; secteur Hospital & Health Care

novembre 2012Poste actuel (1 an 11 mois) Région de Paris , France

Stage de fin d'études

Santech

avril 2012octobre 2012 (7 mois) Région de Paris , France

Projet RéVAD: Plateforme multiservices pour le maintien à domicile des personnes âgées et/ou malvoyante
"Définition des interfaces avec les prestataires de services"

Meriem Maaroufi's Publications

  • Formalizing mappings to optimize automated schema alignment: application to rare diseases.

    • Studies in Health Technology and Informatics - EbookVolume 205: e-Health – For Continuity of Care - pages 283-287
    • 2014
    Auteur(s) : Meriem Maaroufi

    In the era of data sharing and systems interoperability, the automation of data schema alignment has become a priority. Discovering data mappings is the aim of many alignment approaches that have been described in the literature and the effectiveness of which depends on data specifications. In this context, we propose a method for mappings formalization that allows automated data integration processes optimization. This method, involving both data element level and value element level, allows an automated inference of mappings expressed by rules. In this paper, we start by describing the methods used to achieve this mappings formalization. Then, we explain how it has been validated by characterizing data from two use cases. We end up by discussing the objectives of the proposed formalization.

  • A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research.

    • J Am Med Inform Assoc
    • 18 juillet 2014

    Although rare disease patients make up approximately 6-8% of all patients in Europe, it is often difficult to find the necessary expertise for diagnosis and care and the patient numbers needed for rare disease research. The second French National Plan for Rare Diseases highlighted the necessity for better care coordination and epidemiology for rare diseases. A clinical data standard for normalization and exchange of rare disease patient data was proposed. The original methodology used to build the French national minimum data set (F-MDS-RD) common to the 131 expert rare disease centers is presented.
    METHODS:
    To encourage consensus at a national level for homogeneous data collection at the point of care for rare disease patients, we first identified four national expert groups. We reviewed the scientific literature for rare disease common data elements (CDEs) in order to build the first version of the F-MDS-RD. The French rare disease expert centers validated the data elements (DEs). The resulting F-MDS-RD was reviewed and approved by the National Plan Strategic Committee. It was then represented in an HL7 electronic format to maximize interoperability with electronic health records.
    RESULTS:
    The F-MDS-RD is composed of 58 DEs in six categories: patient, family history, encounter, condition, medication, and questionnaire. It is HL7 compatible and can use various ontologies for diagnosis or sign encoding. The F-MDS-RD was aligned with other CDE initiatives for rare diseases, thus facilitating potential interconnections between rare disease registries.
    CONCLUSIONS:
    The French F-MDS-RD was defined through national consensus. It can foster better care coordination and facilitate determining rare disease patients' eligibility for research studies, trials, or cohorts. Since other countries will need to develop their own standards for rare disease data collection, they might benefit from the methods presented here.

Meriem Maaroufi's Projects

Meriem Maaroufi's Education

Université Pierre et Marie Curie (Paris VI)

Research Doctorate, Informatique Médicale et Santé Publique

20122015 (espéré)

Thèse: "Intégration sémantique de Données biomédicales dans le domaine des Maladies Rares"

TIC et Santé Montpellier

DU TIC et Santé, TIC appliquées au domaine de la santé

20112012

Formation sous la tutelle de: l'Institut Télécom, les Universités Montpellier 1 & 2, l'Ecole des Mines d'Alès.
Connaissances acquises:
- Eléments de Sciences et Santé
- Economie et Organisation des Sciences de la Santé
- Dispositifs Médicaux et Robotique Médicale et Chirurgicale
- TIC pour le Médicament
- Système d'Information Médicale
- Traitement et Analyse des Données Biologiques et Médicales

Ecole Supérieure des Communications de Tunis

Ingénieur, Télécommunications

20102012

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