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This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Key concepts, frameworks, examples, and lessons learned in designing and implementing health information and communication technology systems in the developing world. The widespread usage of mobile phones that bring computational power and data to our fingertips has enabled new models for tracking and battling disease. The developing world in particular has become a proving ground for innovation in eHealth (using communication and technology tools in healthcare) and mHealth (using the affordances of mobile technology in eHealth systems). In this book, experts from a variety of disciplines—among them computer science, medicine, public health, policy, and business—discuss key concepts, fra...
In rural and sparsely populated countries, telemedicine can be a vital and life-saving link to health care, and in those regions where demands on hospitals are ever increasing, it can provide a safe and comfortable alternative to hospital-based therapy. The second edition of this introductory guide to telemedicine and telecare services is invaluable to new practitioners in this growing field of medicine. The book describes the benefits of telemedicine and highlights the potential problems. The authors provide numerous examples of how telemedicine is used in the United States, Australia, and Scandinavia.
Provocative, hopeful essays imagine a future that is not reduced to algorithms. When Joi Ito published an essay, "Resisting Reduction: A Manifesto," about human flourishing in an age of machine intelligence, his argument against industrial optimizations in the pursuit of growth and for the importance of natural complexity and resilience received such an impassioned response that he invited writers to develop full-length essays continuing the conversation. Resisting Reduction is the result: Ito's manifesto and nine equally provocative responses, all imagining a future that is not limited by a worldview defined by algorithm. Rather than await our inevitable domination by machines, Ito and his ...
This Review sets out to propose a structure for the funding arrangements for the whole spectrum of health research, with the objective of obtaining the maximum benefit from research success and, where possible, eliminating duplication of effort. The Review found, however, that the UK is at risk of failing to reap the full economic, health and social benefits that the UK's public investment in health research should generate. There is no overarching UK health research strategy to ensure UK health priorities are considered through all types of research and there are two key gaps in the translation of health research: (i) translating ideas from basic and clinical research into the development o...
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This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable r...
What can be more vital to each of us than our health? Yet, despite unprecedented health care spending, the U.S. health system is substantially underperforming, especially with respect to what should be possible, given current knowledge. Although the United States is currently devoting 18% of its Gross Domestic Product to delivering medical care¿more than $3 trillion annually and nearly double the expenditure of other advanced industrialized countries¿the U.S. health system ranked only 37th in performance in a World Health Organization assessment of member nations. In Vital Directions for Health & Health Care: An Initiative of the National Academy of Medicine, the U.S. National Academy of M...