The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Cell. 2019 Mar 21;177(1):58-69. doi: 10.1016/j.cell.2019.02.039.
Personalized medicine has largely been enabled by the integration of genomic and other data with electronic health records (EHRs) in the United States and elsewhere. Increased EHR adoption across various clinical settings and the establishment of EHR-linked population-based biobanks provide unprecedented opportunities for the types of translational and implementation research that drive personalized medicine. We review advances in the digitization of health information and the proliferation of genomic research in health systems and provide insights into emerging paths for the widespread implementation of personalized medicine.
个性化医疗在很大程度上得益于美国和其他地区将基因组和其他数据与电子健康记录(EHR)整合。在各种临床环境中越来越多地采用电子健康记录以及建立与电子健康记录相关的基于人群的生物库,为推动个性化医疗的转化和实施研究提供了前所未有的机会。我们回顾了健康信息数字化和健康系统中基因组研究的发展,并深入了解了个性化医疗广泛实施的新兴途径。