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Technologically supported healthcare management is beginning to take center stage as advances occur in many aspects of healthcare, involving big data, artificial intelligence, and improved user interfaces. This volume provides a perspective on a number of such advances, ranging from homecare with remote network support and primary homecare to telemedicine application for pediatric cardiology. A special section with chapters on Clinical Decision Support Systems (CDSS) addresses topics in improved human interfaces, intelligent support for better quality home and institutional care, effective big data visualization for decision-makers, and gathering data from multiple sources to support the battle against resistant bacteria.
Clinical decision support systems, medical applications, and electronic health records each help to ensure the provision of efficient, accurate healthcare services, thereby providing patients with a better experience and overall reducing health care costs. Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs is a prime resource for both academic researchers and practitioners looking to advance their knowledge of the interdisciplinary areas of healthcare information technology and management research. This book addresses innovative concepts and critical issues in the emerging field of health information systems and informatics, with an emphasis on sustainable computer information systems, ensuring healthcare efficiency, and denoising MRI and ECG outputs.
This book addresses the recent developments in systems maintenance research and practices ranging from technicality of systems evolution to managerial aspects of the topic, including issues such as evolving legacy systems to e-business, applying patterns for reengineering legacy systems to web, architectural recovery of legacy systems, evolving legacy systems into software components.
Concern identification aims to find the implementation of a functional concern in existing source code. In this work, concerns are described, using the Hierarchic Concern Model, as gray-boxes containing subconcerns, inputs, and outputs. The inputs and outputs are used as concern seeds to identify data-oriented abstractions of concern implementations, called concern skeletons. The identification approach is based on context free language reachability and supported by a tool, called CoDEx.
Information technology is revolutionizing healthcare, and the uptake of health information technologies is rising, but scientific research and industrial and governmental support will be needed if these technologies are to be implemented effectively to build capacity at regional, national and global levels. This book, "Improving Usability, Safety and Patient Outcomes with Health Information Technology", presents papers from the Information Technology and Communications in Health conference, ITCH 2019, held in Victoria, Canada from 14 to 17 February 2019. The conference takes a multi-perspective view of what is needed to move technology forward to sustained and widespread use by transitioning...
I love the idea of a Smart Internet that lets users improve many parts of their lives, pulling together data and services from around the internet. This won’t happen with large unwieldy programming requirements. . . it will happen because we’re moving towards integrated, simple tasks that users can do on an every day basis. With services available on the cloud, with analytics available, with data that has meaning to the user and not just to some protocol parser - with all of these, users at all levels will be able to do a better job. The users may be small and large enterprises, local governments, individuals, etc. All of this means that as the world is becoming more intelligent, instrum...
Digital developments have resulted in many changes in the way healthcare is conceived and delivered. This has brought challenges, but has also created opportunities to shape healthcare, and has made the management and evaluation of systems and innovations, together with the education of healthcare practitioners, essential at all levels. This book presents the proceedings of HIC 2019, the annual Australian national conference for Health Informatics, held in Melbourne, Australia, from 12 – 14 August 2019. The conference provides the ideal environment for clinicians, researchers, health IT professionals, industry and consumers to gather and share their knowledge, to drive innovative thinking,...
This book constitutes revised selected papers from the jointly held conferences FHIES 2014, 4th International Symposium on Foundations of Health Information Engineering and Systems, and SEHC 2014, 6th International Workshop on Software Engineering in Health Care. The meeting took place in Washington, DC, USA, in July 2014. The 16 papers presented in this volume were carefully reviewed and selected from 23 submissions. They deal with security aspects of health information systems; medical devices in cyberphysical systems; the process of providing healthcare and of monitoring patients; and patient safety and the assurance of medical systems.
This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world. It consists of seventeen chapters, twelve related to medical research and five focused on the biological domain, which describe interesting applications, motivating progress and worthwhile results. We hope that the readers will benefit from this book and consider it as an excellent way to keep pace with the vast and diverse advances of new research efforts.