大数据在睡眠呼吸障碍管理中的作用
The Role of Big Data in the Management of Sleep-Disordered Breathing.
作者信息
Budhiraja Rohit, Thomas Robert, Kim Matthew, Redline Susan
机构信息
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.
Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA, USA.
出版信息
Sleep Med Clin. 2016 Jun;11(2):241-55. doi: 10.1016/j.jsmc.2016.01.009. Epub 2016 Mar 16.
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.
对大量数据的分析有望改善精准医学在睡眠领域的应用，包括更好地识别可能从替代疗法中获益的患者亚组。医疗保健系统中使用的大数据还有望促进睡眠障碍的端到端筛查、诊断和管理；提高对睡眠呼吸暂停表现差异和易感性的认识；并带来更好的管理和治疗效果。为了实现个性化、精准治疗和诊断的愿景，提高睡眠医学的效率和质量，需要我们在当前的医学和研究文化中持续努力、投入并做出改变。
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