Advances in Healthcare Informatics and Analytics (Annals of Information Systems, 19) - Softcover

9783319232935: Advances in Healthcare Informatics and Analytics (Annals of Information Systems, 19)
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This important new volume presents recent research in healthcare information technology and analytics.  Individual chapters look at such issues as the impact of technology failure on electronic prescribing behavior in primary care; attitudes toward electronic health records; a latent growth modeling approach to understanding lifestyle decisions based on patient historical data; designing an integrated surgical care delivery system using axiomatic design and petri net modeling; and failure in a dynamic decision environment, particularly in treating patients with a chronic disease.

Other chapters look at such topics as the impact of information technology integration in integrated delivery systems; operations and supply chain control for inventory management in a health system pharmacy; decision-theoretic assistants based on contextual gesture recognition; evaluating emergency response medical information systems; clinical decision support in critical care; virtual worlds in healthcare; and natural language processing for understanding contraceptive use at the VA.

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About the Author:

Ashish Gupta, PhD is founding director of Big Data & Analytics Research Center and an Associate Professor of Analytics & IS in the College of Business at the University of Tennessee Chattanooga. This center has been seed funded and has a strong focus on solving high impact Healthcare, smart grid and other analytics oriented problems. Prior to this, he was an Associate Professor (tenured) in the School of Business at Minnesota State University Moorhead. He earned his PhD in Management Science and Information Systems from Spears School of Business at Oklahoma State University. He has been a Visiting Research Scientist at Mayo Clinic Rochester and Visiting Associate Professor in Biomedical Informatics department at Arizona State University. He serves as one of the external collaborators with Critical Care Informatics lab at Mayo Clinic Rochester. 

Dr. Gupta’s research interests are in the areas of data analytics, smart grid, critical care, EMR, patient portals, telemedicine, workflow and process modeling, simulation, healthcare delivery and outcomes, system design, cognitive decision making in healthcare, epidemiology, information overload, and multitasking. His recent articles have appeared in journals such as MIT Sloan Management Review, Journal of Biomedical Informatics, IEEE Transactions, Information Systems Journal, European Journal of Information Systems, Decision Support Systems, Information Systems Frontiers

, and Communications of the Association for Information Systems. Professor Gupta’s research has been supported by many agencies and has received numerous awards. He is recently a recipient of the national faculty scholarship from Teradata. He serves on several review panels and has co-chaired several national and international conferences such as Business Analytics Congress 2015, Big data & Analytics for Business (BDAB 2014, 2016, New Delhi, India), Midwest Association for Information Systems (MWAIS 2010), Symposium on Healthcare & Analytics in Research & Practice (SHARP 1.0, 2.0), EOMAS 2011 (London), EOMAS 2013 (Valencia, Spain) and organized various tracks and mini-tracks at DSI (2014), AMCIS, HICSS, and INFORMS. He has initiated the SHARP conference series in year 2010. He serves on the editorial boards of journals such as JMWAIS (Associate Editor), IJITSA, Conferences such as ICIS 2013, 2015 (Associate Editor) and guest edited special issues of journals such as Decision Support Systems (healthcare Analytics), Annals of IS (Advances in Healthcare Delivery & Informatics), Information Systems Frontiers, Information Systems Journal, etc. Dr. Gupta has served on the executive board and as President for MWAIS.  He is also on the advisory board of AIS SIGMAS (modeling and simulation).

Vimla L Patel, PhD, DSC, FRSC, is a Senior Research Scientist and the Director of the Center for Cognitive Studies in Medic

ine and Public Health at the New York Academy of Medicine. She is professor of Biomedical Informatics (BMI) at Arizona State University [ASU], and an adjunct professor of BM at Columbia University Medical Centre, and of Health Policy and Research at Weill Cornell College of Medicine.  Previously she served as interim chair and vice chair of the Department of Biomedical Informatics at Arizona State University. Dr. Patel is an elected fellow of the Royal Society of Canada (Academy of Social Sciences), the American College of Medical Informatics, and the New York Academy of Medicine, A graduate of McGill University in Montreal; she received an Honorary Doctor of Science degree from the University of Victoria in Canada.  She has served on a number of IOM and NRC committees related to social science, education and health IT research. She is an associate editor of the Journal of Biomedical Informatics and sits on the editorial boards of Artificial Intelligence in Medicine and Advances in Health Science Education. She has edited three books, and has guest edited six special issues in cognitive science and BMI journals. Her studies focus on complexity of the distributed cognitive system, generation of medical errors, the impact of technology on human cognition, and resulting insights on how to design a safer clinical workplace. Dr. Patel has published over 250 scholarly peer-reviewed articles spanning biomedical informatics, education, clinical, and cognitive science journals. 

Robert A. Greenes, MD, PhD, joined Arizona State University (ASU) as Ira A. Fulton Chair and Professor of Biomedical Informatics, in 2007, in which position he served until the June 2013, at which point he was on sabbatical for a year, and has returned to the faculty.  He is also Professor of Biomedical Informatics at Mayo Clinic. Dr. Greenes’ main interests are in clinical informatics, particularly clinical decision support, health care quality improvement, and application usability/interoperability to optimize care processes. He directs the AppWorks initiative at ASU, which provides a platform and sandbox for development of health care apps that interoperate with electronic health record systems.  He is also working with colleagues on a companion platform called mWorks, that facilitates the development of patient-facing mobile health apps that also communicate with providers and integrate data and decision support.  

Dr. Greenes was one of the original developers of the MUMPS language and system widely used in health care. He is the author/editor of the book, Clinical Decision Support (2nd Edition): The Road to Broad Adoption, published by Elsevier in May, 2014.   Before his move to Arizona, Dr. Greenes was founder and director of the Decision Systems Group, a Harvard-based biomedical informatics laboratory at the Brigham and Women’s Hospital.  For over 20 years, he was the Program Director of the National Library of Medicin

e-supported Boston Research Training Pro­gram in Biomedical Informatics.  He was Distinguished Chair in Biomedical Informatics at Brigham and Women’s Hospital, and Professor of Radiology, Health Sciences and Technology, and Health Policy and Management at Harvard. 

With an M.D. and Ph.D. in applied mathematics/compu­ter science from Harvard, he is Board Certified in Diagnostic Radiology.  He is a member of the Institute of Medicine, and a Fellow of the American College of Medical Informatics, the American College of Radiology, and the Society of Imaging Informatics in Medicine. He was the 2008 recipient of the Morris F. Collen Award for contributions that have made a lasting impact on the field of biomedical informatics, from the American College of Medical Informatics.  The Robert A. Greenes Directorship in Biomedical Informatics at the Brigham and Women’s Hospital continues to bear his name. 

Review:

“This book has more material on the evaluation of care and delivery mechanisms, and modeling of provider behavior ... . this book contains several important papers that can aid in increasing the effectiveness and the efficiency of healthcare.” (Creed Jones, Computing Reviews, April, 2016)

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