Advances in Healthcare Informatics and Analytics

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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).
Presents cutting-edge papers on the newest development in the explosive area of Healthcare Information Technology
The Impact of Technology Failure on Electronic Prescribing Behavior in Primary Care: A Case Study.- Individuals' Attitudes Towards Electronic Health Records - A Privacy Calculus Perspective.- Understanding Lifestyle Decisions Based on Patient Historical Data: A Latent Growth Modeling Approach.- Designing an Integrated Surgical Care Delivery System using Axiomatic Design and Petri Net Modeling.- Examining Failure in a Dynamic Decision Environment: Strategies for Treating Patients with a Chronic Disease.- An Empirical Investigation of the Impact of Information Technology Integration in Healthcare Integrated Delivery Systems.- Beyond the Use of Robotics: Operations and Supply Chain Control for Effective Inventory Management in a Health System Pharmacy.- Decision-Theoretic Assistants Based on Contextual Gesture Recognition.- Developing a Method to Evaluate Emergency Response Medical Information Systems.- Effective Use of Clinical Decision Support in Critical Care: Using Risk Assessment Framework for Evaluation of a Computerized Weaning Protocol.- Virtual Worlds in Healthcare.- Natural Language Processing for Understanding Contraceptive Use at the VA.

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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