Flexible Data Integration for Genomics-Driven Decision Support in Rare Genetic Epilepsy
Studies in health technology and informatics, vol. 335, pp. 89–95
Abstract
BACKGROUND: Precision medicine for complex diseases like epilepsy requires integrating heterogeneous clinical and genomic data but interpreting numerous disease-associated genes remains challenging. OBJECTIVES: How can data from disparate biomedical sources be organized efficiently and flexibly to support precision medicine in early project stages in genetic epilepsy? METHODS: We applied a three-step system design approach tailored for academic medical research, considering project requirements, available resources, and technology selection. RESULTS: The EAV-hybrid model accommodated diverse clinical and genetic data while preserving flexibility for future expansion. Integration with cBioPortal enabled intuitive visualization and interpretation. The design supports future migration to standard CDMs such as OMOP or i2b2. CONCLUSION: A flexible, metadata-driven EAV-hybrid model supports rapid prototyping and structured data integration in early-stage precision medicine projects, providing an infrastructure for molecular boards and clinical decision-making for genetic epilepsies.
Authors 10
-
Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Section of Epileptology, Department of Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Section of Epileptology, Department of Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
University of Luxembourg · Luxembourg Centre for Systems Biomedicine
Affiliation as printed
Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
-
Affiliation as printed
Section of Epileptology, Department of Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).