Title :

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

Author(s) :

Lamer, Antoine [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Depas, Nicolas [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Doutreligne, Matthieu [Auteur]
Haute Autorité de Santé [Saint-Denis La Plaine] [HAS]
Parrot, Adrien [Auteur]
Université Paris Descartes - Paris 5 [UPD5]
Verloop, David [Auteur]
Defebvre, Marguerite-Marie [Auteur]
Ficheur, Gregoire [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Chazard, Emmanuel [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Beuscart, Jean-Baptiste [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Journal title :

Applied Clinical Informatics

Abbreviated title :

Appl Clin Inform

Volume number :

11

Pages :

13-22

Publication date :

2020-01-11

ISSN :

1869-0327

English keyword(s) :

data integration
secondary use
observational medical outcome partnership
Observational Health Data Sciences and Informatics

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

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 ...
Show more >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.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CHU Lille

Collections :

• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2023-11-15T09:36:33Z
2023-12-19T09:31:21Z