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The openEHR Genomics Project

Authors :
Cecilia, Mascia
Francesca, Frexia
Paolo, Uva
Gianluigi, Zanetti
Luca, Pireddu
Gideon, Giacomelli
Christina, Jaeger-Schmidt
Aurelie, Tomczak
Simon, Schumacher
Florian, Kraecher
Roland, Eils
Silje, Ljosland Bakke
Heather, Leslie
Source :
Studies in health technology and informatics. 270
Publication Year :
2020

Abstract

Current high-throughput sequencing technologies allow us to acquire entire genomes in a very short time and at a relatively sustainable cost, thus resulting in an increasing diffusion of genetic test capabilities, in specialized clinical laboratories and research centers. In contrast, it is still limited the impact of genomic information on clinical decisions, as an effective interpretation is a challenging task. From the technological point of view, genomic data are big in size, have a complex granular nature and strongly depend on the computational steps of the generation and processing workflows. This article introduces our work to create the openEHR Genomic Project and the set of genomic information models we developed to catch such complex structure and to preserve data provenance efficiently in a machine-readable format. The models support clinical actionability of data, by improving their quality, fostering interoperability and laying the basis for re-usability.

Details

ISSN :
18798365
Volume :
270
Database :
OpenAIRE
Journal :
Studies in health technology and informatics
Accession number :
edsair.pmid..........86188b9e1bdafc808f55bf7933cbfcf2