Appl Clin Inform 2020; 11(01): 013-022
DOI: 10.1055/s-0039-3402754
Research Article
Georg Thieme Verlag KG Stuttgart · New York

Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model: A Feasibility Study

Antoine Lamer
1  Centre d’Etudes et de Recherche en Informatique Médicale, Université de Lille, CHU Lille, EA 2694, Lille, France
,
Nicolas Depas
1  Centre d’Etudes et de Recherche en Informatique Médicale, Université de Lille, CHU Lille, EA 2694, Lille, France
,
Matthieu Doutreligne
2  Bureau Etat de Santé de la Population, Ministère des Affaires Sociales et de la Santé, Direction de la Recherche, des Etudes et des Statistiques - Observation de la Santé et de l'Assurance Maladie, Paris, France
,
Adrien Parrot
3  Université Paris Descartes, Paris, France
4  Web INnovation Données-Direction des Systèmes d’Information, Assistance Publique - Hôpitaux de Paris, Paris, France
,
David Verloop
5  Service Etudes et Statistiques, ARS Hauts-de-France, Lille, France
,
Marguerite-Marie Defebvre
5  Service Etudes et Statistiques, ARS Hauts-de-France, Lille, France
,
Grégoire Ficheur
1  Centre d’Etudes et de Recherche en Informatique Médicale, Université de Lille, CHU Lille, EA 2694, Lille, France
,
Emmanuel Chazard
1  Centre d’Etudes et de Recherche en Informatique Médicale, Université de Lille, CHU Lille, EA 2694, Lille, France
,
Jean-Baptiste Beuscart
1  Centre d’Etudes et de Recherche en Informatique Médicale, Université de Lille, CHU Lille, EA 2694, Lille, France
› Institutsangaben
Funding This work is part of the “PAERPA: Health Pathway of Seniors for Preserved Autonomy” project funded by the Agence Régionale de Santé (ARS) Hauts-de-France. The ARS Hauts-de-France provided the data and funding. The funding bodies did not have an influence on study design and data analysis but were involved in drafting the manuscript.
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Publikationsverlauf

27. Juni 2019

25. November 2019

Publikationsdatum:
08. Januar 2020 (online)

Abstract

Background Common data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses.

Objective This study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM.

Methods The OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract–transform–load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database.

Results Seventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's “standardized clinical data” section, and three tables from the “standardized health system data” section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19–364).

Conclusion Our results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.

Protection of Human and Animal Subjects

Human or animal subjects were not included in the project.


Supplementary Material