Pollard Tom J, Celi Leo Anthony
Laboratory for Computational Physiology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, E25-505, Cambridge, MA 02139.
ICU Manag Pract. 2017 Fall;17(3):198-199.
Critical care units are home to some of the most sophisticated patient technology within hospitals. In parallel, the field of machine learning is advancing rapidly and increasingly touching our lives. To facilitate the adoption of machine learning approaches in critical care, we must become better at sharing and integrating data. Greater emphasis on collaboration- outside the traditional "multidisciplinary" realm and into the engineering, mathematical, and computer sciences-will help us to achieve this. Meanwhile, those at the forefront of the health data revolution must earn and maintain society's trust and demonstrate that data sharing and reuse is a necessary step to improve patient care.
重症监护病房是医院中一些最先进患者技术的所在地。与此同时，机器学习领域正在迅速发展，并越来越多地影响着我们的生活。为了促进机器学习方法在重症监护中的应用，我们必须在数据共享和整合方面做得更好。更加强调跨传统“多学科”领域与工程、数学和计算机科学领域的合作，将有助于我们实现这一目标。与此同时，健康数据革命的前沿人士必须赢得并保持社会的信任，并证明数据共享和再利用是改善患者护理的必要步骤。
