Harvard Business Review
by Vitaly Herasevich, Brian Pickering, and Ognjen Gajic
Mayo Clinic, the nation’s second-largest critical-care provider in the United States, with nearly 350 beds in 15 intensive care units (ICUs) across its campuses in Minnesota, Arizona, and Florida, decided to combat the data deluge with ambient intelligence: a set of decision-making tools powered by data on and insights into clinicians’ goals, work environments, strengths, and performance constraints. When layered on top of existing information infrastructure, ambient-intelligence applications can cut through the clutter and deliver the right information in a digestible form that clinicians can use, quickly and effectively at the patient’s bedside.
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Context: Vitaly Herasevich, M.D., is an associate professor of anesthesiology and medicine in the Department of Anesthesiology and Perioperative Medicine at Mayo Clinic’s campus in Rochester, Minnesota. He codirects Mayo Clinic’s Clinical Informatics in Intensive Care program and its Laboratory of Clinical Informatics in Intensive Care Units. Brian Pickering, M.D., is an associate professor of anesthesiology in the Division of Critical Care’s Department of Anesthesiology at Mayo Clinic’s campus in Rochester, Minnesota and codirects the clinic’s Laboratory of Clinical Informatics in Intensive Care Units. Ognjen Gajic, M.D., is a critical care specialist and a professor of medicine at Mayo Clinic’s campus in Rochester, Minnesota. He directs an interdisciplinary clinical research laboratory, METRIC-ePM (Multidisciplinary Epidemiology and Translational Research in Intensive Care, Emergency and Perioperative Medicine) and is a chair of the Discovery Research Network of the Society of Critical Care Medicine.
Contact: Duska Anastasijevic