Medical Informatics 20 20 Quality And Electronic Health Records Through Collaboration Open Solutions And Innovation

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Medical Informatics 20/20: Quality and Electronic Health Records through Collaboration, Open Solutions, and Innovation

Author: Douglas Goldstein
language: en
Publisher: Jones & Bartlett Publishers
Release Date: 2007-01-04
Despite pressure from the private sector to market their own custom solutions, the healthcare industry is coming around to the idea of applying the strategies of collaboration, open solutions, and innovation to meet the ever-changing demands for healthcare information to support quality and safety. This book provides a roadmap for improving quality of care using Electronic Health Records (EHR) and interoperable, consumer-centric health information solutions. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.
Big Data: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources
language: en
Publisher: IGI Global
Release Date: 2016-04-20
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.