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The Role of Big Data in the Management of Sleep-Disordered Breathing.
Budhiraja, Rohit; Thomas, Robert; Kim, Matthew; Redline, Susan.
Afiliação
  • Budhiraja R; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Thomas R; Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA, USA.
  • Kim M; Division of Endocrinology, Diabetes and Hypertension, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Redline S; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA; Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline
Sleep Med Clin ; 11(2): 241-55, 2016 Jun.
Article em En | MEDLINE | ID: mdl-27236060
ABSTRACT
Analysis of large-volume data holds promise for improving the application of precision medicine to sleep, including improving identification of patient subgroups who may benefit from alternative therapies. Big data used within the health care system also promises to facilitate end-to-end screening, diagnosis, and management of sleep disorders; improve the recognition of differences in presentation and susceptibility to sleep apnea; and lead to improved management and outcomes. To meet the vision of personalized, precision therapeutics and diagnostics and improving the efficiency and quality of sleep medicine will require ongoing efforts, investments, and change in our current medical and research cultures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndromes da Apneia do Sono / Troca de Informação em Saúde Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sleep Med Clin Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndromes da Apneia do Sono / Troca de Informação em Saúde Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sleep Med Clin Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos