The digital transformation of healthcare delivery remains a work in progress, and contextual variation continues to be one of the barriers to the development of sustainable health information technology. Context-sensitive health informatics concerns health information technologies and their environments, which may be people such as patients, users, designers and evaluators, but also non-human constructs such as organizations, work practices, guidelines and protocols, or buildings and markets. This book presents papers from CSHI 2019, the international conference on Context Sensitive Health Informatics, held in Lille, France, on 23 and 24 August 2019. The subtitle of the conference was Sustainability in Dynamic Ecosystems, and the thirty papers included here are divided into six sections: understanding organizational contexts; towards sustainable EHR; different contexts for medication errors and patient safety; methods and models to study contexts for health information systems; citizens in health contexts; and designing and evaluating in contexts. Two keynote speeches from the conference are also included. With its focus on context sensitivity and sustainability in digital healthcare, the book will be of interest to all those working in the field of health informatics.

This book presents the latest findings and ongoing research in the field of green information systems as well as green information and communication technology (ICT). It provides insights into a whole range of cross-cutting concerns in ICT and environmental sciences and showcases how information and communication technologies allow environmental and energy efficiency issues to be handled effectively. Offering a selection of extended and reworked contributions to the 30th International Conference EnviroInfo 2016, it is essential reading for anyone wanting to extend their expertise in the area.

Oncology Informatics: Using Health Information Technology to Improve Processes and Outcomes in Cancer Care encapsulates National Cancer Institute-collected evidence into a format that is optimally useful for hospital planners, physicians, researcher, and informaticians alike as they collectively strive to accelerate progress against cancer using informatics tools. This book is a formational guide for turning clinical systems into engines of discovery as well as a translational guide for moving evidence into practice. It meets recommendations from the National Academies of Science to "reorient the research portfolio" toward providing greater "cognitive support for physicians, patients, and their caregivers" to "improve patient outcomes." Data from systems studies have suggested that oncology and primary care systems are prone to errors of omission, which can lead to fatal consequences downstream. By infusing the best science across disciplines, this book creates new environments of "Smart and Connected Health." Oncology Informatics is also a policy guide in an era of extensive reform in healthcare settings, including new incentives for healthcare providers to demonstrate "meaningful use" of these technologies to improve system safety, engage patients, ensure continuity of care, enable population health, and protect privacy. Oncology Informatics acknowledges this extraordinary turn of events and offers practical guidance for meeting meaningful use requirements in the service of improved cancer care. Anyone who wishes to take full advantage of the health information revolution in oncology to accelerate successes against cancer will find the information in this book valuable. Presents a pragmatic perspective for practitioners and allied health care professionals on how to implement Health I.T. solutions in a way that will minimize disruption while optimizing practice goals Proposes evidence-based guidelines for designers on how to create system interfaces that are easy to use, efficacious, and timesaving Offers insight for researchers into the ways in which informatics tools in oncology can be utilized to shorten the distance between discovery and practice

Implementing ASTM 1238 on a national scale in France: The H. PR. I.M. experience 1990-1992 -- Multi Media and Broadband Communication Services: A new paradigm for Medical Imaging -- RECENT PROGRESS in STANDARDIZATION of MEDICAL IMAGING in AMERICA -- Standard Interchange for Computerized Electrocardiography -- Data Interchange for Clinical Neurophysiology -- Health Care Security and Privacy, Quality and Safety -- Standardization in Health Care Informatics Opportunities for International Cooperation -- Useful Addresses -- AUTHOR INDEX

This book reflects the evolution of a vibrant discipline in its chosen. The Impact of Nursing Knowledge on health Care Informatics. Nursing Informatics has changed the practice, defining new roles for nursing in education, research, patient care and administration. reaching out into industry, government and consultancies. The range of issues addressed in this book is extraordinary, including nursing language, cognitive skills, education and training, nursing research, systems design, decision support, patient record, patient management, standards and more. It also clarifies values, strategies and practices central to the profession of nursing. This book is a part of the global network, building bridges between teachers, students, clinicians, administrators and researchers around the world and creating a lasting bond.

The American Medical Informatics Association (AMIA) defines the term biomedical informatics (BMI) as: The interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health. This book: Applied Interdisciplinary Theory in Health Informatics: A Knowledge Base for Practitioners, explores the theories that have been applied in health informatics and the differences they have made. The editors, all proponents of evidence-based health informatics, came together within the European Federation of Medical Informatics (EFMI) Working Group on Health IT Evaluation and the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development. The purpose of the book, which has a foreword by Charles Friedman, is to move forward the agenda of evidence-based health informatics by emphasizing theory-informed work aimed at enriching the understanding of this uniquely complex field. The book takes the AMIA definition as particularly helpful in its articulation of the three foundational domains of health informatics: health science, information science, and social science and their various overlaps, and this model has been used to structure the content of the book around the major subject areas. The book discusses some of the most important and commonly used theories relevant to health informatics, and constitutes a first iteration of a consolidated knowledge base that will advance the science of the field.

This book constitutes the refereed proceedings of the 17th Conference on Computer Networks, CN 2009, held in Ustro\'{n}, Poland, in June 2010. The 37 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in the following groups: new technologies applied in computer networks, particularly those related to nano, molecular and quantum technology; new standard technologies related to computer network structure; the fundamentals of computer networks, their architecture and programming; articles concerning the Internet in its broad meaning; papers related to data security in distributed systems; and a group of articles describing industrial computer networks; and papers on applications.

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.