Enabling Health And Healthcare Through Ict

For many people in both developing and developed countries universal healthcare is still not the norm. Socio-economic status and geographical restrictions have proved to be major barriers to accessible care. The use of information and communication technologies ICT is growing rapidly internationally as the need to provide more efficient and cost-effective care becomes increasingly urgent. Improving the health of a nation begins with the individual and recent developments in genomics and mobile networked information technologies have regenerated interest in individualizing healthcare. Harnessing the diversity and ubiquity of

Rapid progress in health research has led to generation of new knowledge and innovative practices in management of illness. This has resulted in a significant challenge for health professionals: if today we discovered a new therapy through research, when will this discovery be regularly prescribed or utilized to treat all patients suffering from this condition? Knowledge translation is the non-linear and often complicated process of translating knowledge into routine health practices. Technology enabled knowledge translation (TEKT) is the use of information and communication technologies (ICT) to accelerate knowledge translation. With the ubiquity of the internet, the proliferation of different approaches in communication and social networking, and the continuously improving technologies from netbooks to smartphones, there are rich opportunities for TEKT in health education, service delivery, and research.

Through the use of ICT tools, such as the internet, portals, and telecommunication devices, the quality of healthcare has improved in local and global health; aiding in the development of a sustainable economy. Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care brings together a valuable research collection on ICT elements needed to improve communication and collaboration between global health institutes, public and private organizations, and foundations. Highlighting the adoption and success factors in the development of technologies for healthcare, this book is essential for IT professionals, technology solution providers, researchers, and students interested in technology and its relationship with healthcare and social services.

"This book examines current developments and challenges in the incorporation of ICT in the health system from the vantage point of patients, providers, and researchers. The authors take an objective, realistic view of the shift that will result for patients, providers, and the healthcare industry in general from the increased use of eHealth services"--Provided by publisher.

This book sets out to answer the key question of how healthcare providers can move from a fragmented to an integrated provision, including how ICT be used to develop a market approach - variety and choice of service providers for patients - against a background of institutionalised and ingrained practices. A team of academic and practitioner experts with many years' healthcare and research experience considers the broad issues of transforming healthcare using ICTs, electronic health records (EHRs), and approaches taken internationally to the healthcare integration challenge. The book will be essential reading for those involved in ICTs at a strategic or managerial level, and for contractors and developers implementing solutions on their behalf. The book will also be of interest for all those concerned with integrating healthcare and ICT at every level throughout the world.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Masterarbeit aus dem Jahr 2014 im Fachbereich BWL - Unternehmensführung, Management, Organisation, Note: 1,3, Universität Mannheim, Sprache: Deutsch, Abstract: Healthcare is one of the fastest growing sectors in the service economy (Sisko et al., 2009). This development is due to the aging society, mounting competitive pressure and ever more emerging treatments and technologies (Andaleeb, 2001). Being an enormously expensive, very complex, information-intensive and universally used service, healthcare significantly affects economies and the quality of daily life (Berry & Bendapudi, 2007). Since the early 1950s computer technologies have been utilized to collect and manage information (Atienza et al., 2007). The development of computer processing and its implications for the speed, memory and possibilities of network infrastructures to process large amounts of data are seen as a promising way to achieve needed changes within healthcare like lowering costs and enhancing quality. These developments have created a wide range of possibilities for individuals, groups and populations to assess and deliver health information. However, the healthcare sector lags behind other sectors in the utilization of communication and information technology (ICT) and thus exhibits a chance for sustainable growth. Implementations of potentially beneficial e-health technologies are currently in process, often with significant impact on national expenditure. The UK has, for example, invested at least € 16 billion in a national programme for information technology for national health services (Catwell & Sheikh, 2009). Such large-scale expenditure has been justified on the grounds that e-health solutions will help address the problems of cost-effectiveness, quality and safety in modern healthcare. Despite the surge in technological capabilities the responding research and evaluation methodologies have not kept pace with the evolution of information and communication technologies in healthcare. Therefore, E-health research is at an early stage of development (Atienza et al., 2007). E-health, in contrast to other health industries like pharmaceuticals or medical devices, is not systematically assessed with respect to safety, quality and impacts (Stroetmann et al., 2006). The benefits and overall positive effects of the use of information technology seem clear in theory but the healthcare sector has been slow in adopting information systems and the implementation has proven difficult (Chaudrey et al., 2006). [...]

"This book provide a comprehensive coverage of the latest and most relevant knowledge, developments, solutions, and practical applications, related to e-Health, this new field of knowledge able to transform the way we live and deliver services, both from the technological and social perspectives"--Provided by publisher.