Advancing the science of genomic learning healthcare systems.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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Manolio Teri A, Rider Renee, Bult Carol J, Chisholm Rex L, Deverka Patricia A, Ginsburg Geoffrey S, Green Eric D, Jarvik Gail P, Mensah George A, Narula Jahnavi, Ramos Erin M, Relling Mary V, Roden Dan M, Rowley Robb, Abul-Husn Noura S, Buchanan Adam H, Chute Christopher G, Del Fiol Guilherme, Elhanan Gai, Haga Susanne B, Hamid Rizwan, Horowitz Carol R, Hulick Peter J, James Cynthia A, Jeff Janina M, Korf Bruce, Landry Latrice, McGraw Deven, McLeod Howard L, Mendelsohn Nancy J, Osterman Travis, Taylor Casey Overby, Pritchard Daryl, Rehm Heidi L, Tsosie Krystal S, Vassy Jason L, Watson Karriem, Wiley Ken, Williams Marc S
Аннотация
METHODS: Deliberations of an expert group convened by the National Human Genome Research Institute (NHGRI) supplemented by relevant literature.
RESULTS: Recent advances in genomic data standardization, automated clinical decision support, increased interoperability, and improved genomic technologies have enabled the development of several robust gLHS. They remain concentrated in major academic centers, however, and operate largely independently. Sharing their methods and tools would increase access to these innovations and advance the field. Several gLHS have expressed willingness to collaborate in a coalition designed to gather, evaluate, and disseminate best practices and development needs. Such a coalition has recently been formed under the leadership of NHGRI.
CONCLUSION: Increased collaboration, interoperability, and sharing of genomic information and strategies across gLHS can help define, refine, and disseminate best practices. Such cooperation can improve genomic variant curation and interpretation, diagnostic accuracy, evidence generation, and ultimately patient care through seamless integration of research as an integral component of good clinical care.