Nina Haffer, Caroline Stellmach, Julian Sass, Michael R Muzoora, Adam S L Graefe, Sylvia Thun, Carina N Vorisek
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Genomics on FHIR - a feasibility study to support a National Strategy for Genomic Medicine.
The German National Strategy for Genomic Medicine (genomDE) aims to integrate genome sequencing into standard healthcare. However, integrating genomics data from research and healthcare remains challenging. This study analyzed how the genomDE dataset could be mapped to international standards: the Genomics Reporting Fast Healthcare Interoperability Resources® (FHIR®) Implementation Guide (IG) 2.0.0, the Global Alliance for Genomics and Health (GA4GH)'s Phenopacket Schema, and the German national molecular genomics report IG of the Medical Informatics Initiative (MII). Sample FHIR® bundles and necessary search queries were created and validated. Most dataset elements could be represented using existing FHIR profiles, while unmapped elements were addressed through profiling and extensions. The study highlights that the genomDE dataset can largely be mapped to existing international standards, with the potential to extend these standards to accommodate missing elements, thereby improving genomic data interoperability in healthcare.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.