Informatics In The Future
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Building Capacity for Health Informatics in the Future
Health information technologies are revolutionizing and streamlining healthcare, and uptake continues to rise dramatically. If these technologies are to be effectively implemented, capacity must be built at a regional, national and global level, and the support and involvement of both government and industry will be vital. This book presents the proceedings of the 2017 Information Technology and Communications in Health conference (ITCH 2017), held in Victoria, BC, Canada, in February 2017. The conference considers, from a variety of perspectives, what is required to move the technology forward to real, sustained and widespread use, and the solutions examined range from improvements in usability and training to the need for new and improved design of information systems, user interfaces and interoperable solutions. Government policies, mandates, initiatives and the need for regulation are also explored, as is the requirement for improved interaction between industrial, governmental and academic partners. With its focus on building the next generation of health informatics and the capacity required to deliver better healthcare worldwide, this book will be of interest to all those involved in the provision of healthcare.
Machine Learning for Health Informatics
Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.
Social Informatics
Author: Pnina Fichman
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2014-03-17
Social Informatics: Past, Present and Future is a collection of twelve papers that provides a state-of-the-art review of 21st century social informatics. Two papers review the history of social informatics, and show that its intellectual roots can be found in the late 1970s and early ’80s and that it emerged in several different locations around the world before it coalesced in the US in the mid-1990s. The evolution of social informatics is described under four periods: foundational work, development and expansion, a robust period of coherence, and a period of diversification that continues today. Five papers provide a view of the breadth and depth of contemporary social informatics, demonstrating the diversity of theoretical and methodological approaches that can be used. A further five papers explore the future of social informatics and offer provocative and disparate visions of its trajectory, ranging from arguments for a new philosophical grounding for social informatics, to calls for a social informatics based on practice thinking and materiality. This book presents a view of SI that emphasizes the core relationship among people, ICT and organizational and social life from a perspective that integrates aspects of social theory and demonstrates clearly that social informatics has never been a more necessary research endeavor than it is now.