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.

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