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Our model of providing clinical care and comprehensive genomic analysis from a single source may be used by other centers with a similar structure to facilitate the implementation of omics-based personalized health concepts in medicine.</jats:p>","journal":"npj Genomic Medicine","year":2024,"id":600183,"datarank":0.5101796072493234,"base_score":3.4011973816621555,"endowment":3.4011973816621555,"self_citation_contribution":0.5101796072493234,"citation_network_contribution":0.0,"self_endowment_contribution":0.5101796072493234,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":29,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":326381,"name":"Marc Sturm","orcid":"0000-0002-6552-8362","position":1,"is_corresponding":false},{"id":1538513,"name":"Benita Menden","orcid":null,"position":2,"is_corresponding":false},{"id":1538514,"name":"Alexandra Liebmann","orcid":null,"position":3,"is_corresponding":false},{"id":14351,"name":"German Demidov","orcid":"0000-0001-9075-4276","position":4,"is_corresponding":false},{"id":1538516,"name":"Dennis Witt","orcid":"0000-0001-8485-4860","position":5,"is_corresponding":false},{"id":59552,"name":"Nicolas Casadei","orcid":"0000-0003-2209-0580","position":6,"is_corresponding":false},{"id":747981,"name":"Jakob Admard","orcid":"0000-0003-0466-582X","position":7,"is_corresponding":false},{"id":1538518,"name":"Leon Schütz","orcid":"0000-0001-7907-4878","position":8,"is_corresponding":false},{"id":13890,"name":"Stephan Ossowski","orcid":"0000-0002-7416-9568","position":9,"is_corresponding":false},{"id":1013274,"name":"Stacie L. 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However, how to scale and effectively implement GS on an institutional level remains a challenge for many. Here, we present Genome First and Ge-Med, two clinical implementation studies focused on identifying the key pillars and processes that are required to make routine GS and predictive genomics a reality in the clinical setting. We describe our experience and lessons learned for a variety of topics including test logistics, patient care processes, data reporting, and infrastructure. 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