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The next generation of precision medicine: observational studies, electronic health records, biobanks and continuous monitoring.
Glicksberg, Benjamin S; Johnson, Kipp W; Dudley, Joel T.
Afiliación
  • Glicksberg BS; Institute for Next Generation Healthcare Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York City, NY 10029, USA.
  • Johnson KW; Institute for Computational Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
  • Dudley JT; Institute for Next Generation Healthcare Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York City, NY 10029, USA.
Hum Mol Genet ; 27(R1): R56-R62, 2018 05 01.
Article en En | MEDLINE | ID: mdl-29659828
ABSTRACT
Precision medicine can utilize new techniques in order to more effectively translate research findings into clinical practice. In this article, we first explore the limitations of traditional study designs, which stem from (to name a few) massive cost for the assembly of large patient cohorts; non-representative patient data; and the astounding complexity of human biology. Second, we propose that harnessing electronic health records and mobile device biometrics coupled to longitudinal data may prove to be a solution to many of these problems by capturing a 'real world' phenotype. We envision that future biomedical research utilizing more precise approaches to patient care will utilize continuous and longitudinal data sources.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Medicina de Precisión / Registros Electrónicos de Salud / Investigación Biomédica Traslacional / Macrodatos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Medicina de Precisión / Registros Electrónicos de Salud / Investigación Biomédica Traslacional / Macrodatos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos