未登录 Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis 基于TREWS机器学习的脓毒症早期预警系统实施后患者预后的前瞻性、多站点研究 Adams, Roy; Henry, Katharine E.; Sridharan, Anirudh; Soleimani, Hossein; Zhan, Andong; Rawat, Nishi; Johnson, Lauren; Hager, David N.; Cosgrove, Sara E.; Markowski, Andrew; Klein, Eili Y.; Chen, Edward S.; Saheed, Mustapha O.; Henley, Maureen; Miranda, Sheila; Houston, Katrina; Linton, Robert C.; Ahluwalia, Anushree R.; Wu, Albert W.; Saria, Suchi 分享 收藏
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Two-State Collaborative Study of a Multifaceted Intervention to Decrease Ventilator-Associated Events Rawat, Nishi; Yang, Ting; Ali, Kisha J.; Catanzaro, Mary; Cohen, Mariah D.; Farley, Donna O.; Lubomski, Lisa H.; Thompson, David A.; Winters, Bradford D.; Cosgrove, Sara E.; Klompas, Michael; Speck, Kathleen A.; Berenholtz, Sean M. 分享 收藏
Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor Ma, Andy J.; Rawat, Nishi; Reiter, Austin; Shrock, Christine; Zhan, Andong; Stone, Alex; Rabiee, Anahita; Griffin, Stephanie; Needham, Dale M.; Saria, Suchi 分享 收藏
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An Official American Thoracic Society/American Association of Critical-Care Nurses/American College of Chest Physicians/Society of Critical Care Medicine Policy Statement: The Choosing Wisely® Top 5 List in Critical Care Medicine Halpern, Scott D.; Becker, Deborah; Curtis, J. Randall; Fowler, Robert; Hyzy, Robert; Kaplan, Lewis J.; Rawat, Nishi; Sessler, Curtis N.; Wunsch, Hannah; Kahn, Jeremy M. 分享 收藏
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