Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project

Paul Avillach; Michel Joubert; Frantz Thiessard; Gianluca Trifirò; Jean Charles Dufour; Antoine Pariente; Fleur Mougin; Giovanni Polimeni; Maria Antonietta Catania; Carlo Giaquinto; Giampiero Mazzaglia; Carla Fornari; Ron Herings; Rosa Gini; Julia Hippisley-Cox; Mariam Molokhia; Lars Pedersen; Annie Fourrier-Réglat; Miriam Sturkenboom; Marius Fieschi

doi:10.3233/978-1-60750-588-4-1085

Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project

Paul Avillach^*, Michel Joubert, Frantz Thiessard, Gianluca Trifirò, Jean Charles Dufour, Antoine Pariente, Fleur Mougin, Giovanni Polimeni, Maria Antonietta Catania, Carlo Giaquinto, Giampiero Mazzaglia, Carla Fornari, Ron Herings, Rosa Gini, Julia Hippisley-Cox, Mariam Molokhia, Lars Pedersen, Annie Fourrier-Réglat, Miriam Sturkenboom, Marius Fieschi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

Abstract

The overall objective of the EU-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.

Original language	English
Title of host publication	Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
Publisher	IOS Press
Pages	1085-1089
Number of pages	5
Volume	160
Edition	PART 1
ISBN (Print)	9781607505877
DOIs	https://doi.org/10.3233/978-1-60750-588-4-1085
Publication status	Published - 1 Jan 2010

Keywords

Drug toxicity
Indexing
Information storage and retrieval
Medical records
Semantics
UMLS

Access to Document

10.3233/978-1-60750-588-4-1085

Cite this

Avillach, P., Joubert, M., Thiessard, F., Trifirò, G., Dufour, J. C., Pariente, A., Mougin, F., Polimeni, G., Catania, M. A., Giaquinto, C., Mazzaglia, G., Fornari, C., Herings, R., Gini, R., Hippisley-Cox, J., Molokhia, M., Pedersen, L., Fourrier-Réglat, A., Sturkenboom, M., & Fieschi, M. (2010). Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project. In Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics (PART 1 ed., Vol. 160, pp. 1085-1089). IOS Press. https://doi.org/10.3233/978-1-60750-588-4-1085

@inproceedings{11addbe05f7946489374e8507d5c28b0,

title = "Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project",

abstract = "The overall objective of the EU-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.",

keywords = "Drug toxicity, Indexing, Information storage and retrieval, Medical records, Semantics, UMLS",

author = "Paul Avillach and Michel Joubert and Frantz Thiessard and Gianluca Trifir{\`o} and Dufour, {Jean Charles} and Antoine Pariente and Fleur Mougin and Giovanni Polimeni and Catania, {Maria Antonietta} and Carlo Giaquinto and Giampiero Mazzaglia and Carla Fornari and Ron Herings and Rosa Gini and Julia Hippisley-Cox and Mariam Molokhia and Lars Pedersen and Annie Fourrier-R{\'e}glat and Miriam Sturkenboom and Marius Fieschi",

year = "2010",

month = jan,

day = "1",

doi = "10.3233/978-1-60750-588-4-1085",

language = "English",

isbn = "9781607505877",

volume = "160",

pages = "1085--1089",

booktitle = "Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics",

publisher = "IOS Press",

address = "Netherlands",

edition = "PART 1",

}

Avillach, P, Joubert, M, Thiessard, F, Trifirò, G, Dufour, JC, Pariente, A, Mougin, F, Polimeni, G, Catania, MA, Giaquinto, C, Mazzaglia, G, Fornari, C, Herings, R, Gini, R, Hippisley-Cox, J, Molokhia, M, Pedersen, L, Fourrier-Réglat, A, Sturkenboom, M & Fieschi, M 2010, Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project. in Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1 edn, vol. 160, IOS Press, pp. 1085-1089. https://doi.org/10.3233/978-1-60750-588-4-1085

Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project. / Avillach, Paul; Joubert, Michel; Thiessard, Frantz et al.
Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. Vol. 160 PART 1. ed. IOS Press, 2010. p. 1085-1089.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases

T2 - A contribution to the European EU-ADR project

AU - Avillach, Paul

AU - Joubert, Michel

AU - Thiessard, Frantz

AU - Trifirò, Gianluca

AU - Dufour, Jean Charles

AU - Pariente, Antoine

AU - Mougin, Fleur

AU - Polimeni, Giovanni

AU - Catania, Maria Antonietta

AU - Giaquinto, Carlo

AU - Mazzaglia, Giampiero

AU - Fornari, Carla

AU - Herings, Ron

AU - Gini, Rosa

AU - Hippisley-Cox, Julia

AU - Molokhia, Mariam

AU - Pedersen, Lars

AU - Fourrier-Réglat, Annie

AU - Sturkenboom, Miriam

AU - Fieschi, Marius

PY - 2010/1/1

Y1 - 2010/1/1

N2 - The overall objective of the EU-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.

AB - The overall objective of the EU-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.

KW - Drug toxicity

KW - Indexing

KW - Information storage and retrieval

KW - Medical records

KW - Semantics

KW - UMLS

UR - http://www.scopus.com/inward/record.url?scp=78649521216&partnerID=8YFLogxK

U2 - 10.3233/978-1-60750-588-4-1085

DO - 10.3233/978-1-60750-588-4-1085

M3 - Conference contribution

AN - SCOPUS:78649521216

SN - 9781607505877

VL - 160

SP - 1085

EP - 1089

BT - Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics

PB - IOS Press

ER -

Avillach P, Joubert M, Thiessard F, Trifirò G, Dufour JC, Pariente A et al. Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project. In Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1 ed. Vol. 160. IOS Press. 2010. p. 1085-1089 doi: 10.3233/978-1-60750-588-4-1085

Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: A contribution to the European EU-ADR project

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this