Neurocritical Care Informatics

Health care in the twenty-first century requires intensive use of technology in order to acquire and analyze data and manage and disseminate information. No area is more data intensive than the neurointensive care unit. Despite the massive amount of data, however, providers often lack interpretable and actionable information. This book reviews the concepts underlying the emerging field of neurocritical care informatics, with a focus on integrated data acquisition, linear and nonlinear processing, and innovative visualization in the ICU. Subjects addressed in individual chapters are thus wide ranging and encompassing, for example, multimodal and continuous EEG monitoring and data integration, display of data in the ICU, patient-centered clinical decision support, optimization of collaboration and workflow, and progress towards an “integrated medical environment”. All of the nine chapters have been written by international thought leaders in the field.

Michael A. De Georgia, MD is Director of the Center for Neurocritical Care of the Neurological Institute at University Hospitals Cleveland Medical Center and Chief of Neurology at University Hospitals Ahuja Medical Center. He is a Professor of Neurology at Case Western Reserve University School of Medicine where he holds the Maxeen Stone and John A. Flower Endowed Chair in Neurology. He is Director of the Neurocritical Care Fellowship Program and a past recipient of the Joseph M. Foley Teaching Award. An internationally recognized expert in neurocritical care and stroke and a thought leader in the emerging field of medical informatics, he is the author of more than 150 articles, abstracts and book chapters. From 1999 to 2007, Dr. De Georgia was on staff at the Cleveland Clinic where he was Head of the Neurological Intensive Care Program and Director of the Neurology - Neurosurgery Intensive Care Unit. From 1997-1999, he was Director of the Neurocritical Care and Stroke Program at the SUNY Upstate Medical University in Syracuse, New York. Dr. De Georgia earned his medical degree from the Northeast Ohio Medical University after completing an accelerated six-year BS/MD program. He completed an Internal Medicine residency at the University of Michigan Medical Center, a Neurology residency at Tufts University-New England Medical Center, and a Neurocritical Care fellowship at the University of Heidelberg in Germany. Board certified in Internal Medicine, Neurology, Vascular Neurology, and Neurocritical Care, he is an honorary fellow of the American College of Physicians, American Heart Association, American College of Critical Care Medicine, and Neurocritical Care Society. For the last decade, he has been annually listed as one of “America’s Best Doctors" and is a frequent health commentator for ABC World News Tonight, CNN, MSNBC, Fox News, and other media outlets

Kenneth A. Loparo, PhD is the Arthur L Parker Professor in the Department of Electrical Engineering and Computer Science at Case Western Reserve University, holds academic appointments in the Departments of Biomedical Engineering and Mechanical and Aerospace Engineering in the Case School of Engineering, and is the Faculty Director of the Institute for Smart, Secure and Connected Systems and Co-Academic Director of the Internet of Things Collaborative. He has received numerous awards including the Sigma Xi Research Award for contributions to stochastic control, the John S. Diekoff Award for Distinguished Graduate Teaching, the Tau Beta Pi Outstanding Engineering and Science Professor Award, the Undergraduate Teaching Excellence Award, the Carl F. Wittke Award for Distinguished Undergraduate Teaching and the Srinivasa P. Gutti Memorial Engineering Teaching Award. He was chair of the Department of Electrical Engineering from 2013-2017, associate dean of engineering from 1994 -1997, chair of the Department of Systems Engineering from 1990 -1994. Loparo is a fellow of a Life Fellow of the IEEE and a fellow of AIMBE, his research interests include stability and control of nonlinear and stochastic systems with applications to large-scale electricity systems including generation and transmission and distribution; nonlinear filtering with applications to monitoring, fault detection, diagnosis, prognosis and reconfigurable control; information theory aspects of stochastic and quantized systems with applications to adaptive and dual control and the design of distributed autonomous control systems; the development of advanced signal processing and data analytics for monitoring and tracking of physiological behavior in health and disease.