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Zurich, summer 1912. Albert Einstein has just returned from Prague to the city on the Limmat. He sends a plea for help to his former fellow student, the mathematician Marcel Grossmann (1878-1936), for he is in need of assistance with the mathematical calculations of his general theory of relativity. What then follows is one of the most fascinating chapters of science history, with far-reaching consequences for the lives of the two friends. Marcel Grossmann’s granddaughter paints here a picture of a fiery and many-talented scientist and patriot. She traces the influence of an entrepreneurial family during Germany’s rapid industrial expansion in the late 19th century. The family’s fluctuating fortunes take the story to the vibrant city of Budapest on the Danube; they enable readers to sense the pioneering spirit at Zurich’s young Polytechnic Institute (now ETH Zurich) – but also reflect the worries and hardships of the First World War and interwar years. The Foreword is written by Prof. Remo Ruffini, founder and president of the International Center for Relativistic Astrophysics and the Marcel Grossmann Meetings. Last but not least, an extensive contribution by Dr. Tilman Sauer offers a scientific-historical appreciation of Marcel Grossmann’s enduring contributions.
Popular works. --- Europe, Central --- Geometry. --- Gravitation. --- Physics. --- Mathematics. --- Popular Science. --- Popular Science in Physics. --- History and Philosophical Foundations of Physics. --- Classical and Quantum Gravitation, Relativity Theory. --- Popular Science in Mathematics. --- History of Germany and Central Europe. --- History. --- Mathematicians --- Grossmann, Marcel, --- Scientists --- Europe, Central-History. --- Mathematics --- Euclid's Elements --- Europe, Central—History. --- Math --- Science --- Field theory (Physics) --- Matter --- Physics --- Antigravity --- Centrifugal force --- Relativity (Physics) --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Properties
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"Successful development of clinical data as an engine for knowledge generation has the potential to transform health and health care in America. As part of its Learning Health System Series, the Roundtable on Value & Science-Driven Health Care hosted a workshop to discuss expanding the access to and use of clinical data as a foundation for care improvement."--Publisher's description.
Common good -- United States -- Congresses. --- Medical policy -- United States -- Congresses. --- Medical policy -- United States -- Public opinion -- Congresses. --- Medical informatics --- Common good --- Medical policy --- Public interest --- Medical records --- Medical care --- Information storage and retrieval systems --- Health Care Evaluation Mechanisms --- Management Information Systems --- Information Science --- Software --- Informatics --- Investigative Techniques --- Epidemiologic Methods --- Publication Formats --- Organization and Administration --- Information Systems --- Public Health --- Computing Methodologies --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Quality of Health Care --- Publication Characteristics --- Medical Informatics Applications --- Health Care Quality, Access, and Evaluation --- Environment and Public Health --- Health Services Administration --- Health Care --- Data Collection --- Database Management Systems --- Medical Informatics --- Information Management --- Congresses --- Methods --- Medicine --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Public opinion --- Data processing --- Health care policy --- Health policy --- Medicine and state --- Policy, Medical --- Public health --- Public health policy --- State and medicine --- Good, Common --- Public good --- Government policy --- Science and state --- Social policy --- Political science --- Consensus (Social sciences) --- Justice
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"It is essential for patients and clinicians to have the resources needed to make informed, collaborative care decisions. Despite this need, only a small fraction of health-related expenditures in the United States have been devoted to comparative effectiveness research (CER). To improve the effectiveness and value of the care delivered, the nation needs to build its capacity for ongoing study and monitoring of the relative effectiveness of clinical interventions and care processes through expanded trials and studies, systematic reviews, innovative research strategies, and clinical registries, as well as improving its ability to apply what is learned from such study through the translation and provision of information and decision support. As part of its Learning health system series of workshops, the Institute of Medicine's (IOM's) Roundtable on Value & Science-Driven Health Care hosted a workshop to discuss capacity priorities to build the evidence base necessary for care that is more effective and delivers higher value for patients. Learning what works summarizes the proceedings of the seventh workshop in the Learning health system series. This workshop focused on the infrastructure needs--including methods, coordination capacities, data resources and linkages, and workforce--for developing an expanded and efficient national capacity for CER. Learning what works also assesses the current and needed capacity to expand and improve this work, and identifies priority next steps."--Publisher's description.
Evidence-based medicine - United States - Comparative method. --- Medicine, Comparative --- Medical care --- Evidence-based medicine --- Publication Formats --- Health Services Research --- Health Services Administration --- North America --- Health Care Quality, Access, and Evaluation --- Biomedical Research --- Americas --- Health Care --- Publication Characteristics --- Research --- Geographic Locations --- Geographicals --- Science --- Natural Science Disciplines --- Disciplines and Occupations --- Congresses --- United States --- Comparative Effectiveness Research --- Organization and Administration --- Standards --- Comparative method --- Quality control --- Medicine, Comparative. --- Comparative method.
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The effective use of data is foundational to the concept of a learning health system--one that leverages and shares data to learn from every patient experience, and feeds the results back to clinicians, patients and families, and health care executives to transform health, health care, and health equity. More than ever, the American health care system is in a position to harness new technologies and new data sources to improve individual and population health. Learning health systems are driven by multiple stakeholders--patients, clinicians and clinical teams, health care organizations, academic institutions, government, industry, and payers. Each stakeholder group has its own sources of data, its own priorities, and its own goals and needs with respect to sharing that data. However, in America's current health system, these stakeholders operate in silos without a clear understanding of the motivations and priorities of other groups. The three stakeholder working groups that served as the authors of this Special Publication identified many cultural, ethical, regulatory, and financial barriers to greater data sharing, linkage, and use. What emerged was the foundational role of trust in achieving the full vision of a learning health system. This Special Publication outlines a number of potentially valuable policy changes and actions that will help drive toward effective, efficient, and ethical data sharing, including more compelling and widespread communication efforts to improve awareness, understanding, and participation in data sharing. Achieving the vision of a learning health system will require eliminating the artificial boundaries that exist today among patient care, health system improvement, and research. Breaking down these barriers will require an unrelenting commitment across multiple stakeholders toward a shared goal of better, more equitable health. We can improve together by sharing and using data in ways that produce trust and respect. Patients and families deserve nothing less.
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"Improving our nation's healthcare system is a challenge which, because of its scale and complexity, requires a creative approach and input from many different fields of expertise. Lessons from engineering have the potential to improve both the efficiency and quality of healthcare delivery. The fundamental notion of a high-performing healthcare system--one that increasingly is more effective, more efficient, safer, and higher quality--is rooted in continuous improvement principles that medicine shares with engineering. As part of its Learning healthcare system series of workshops, the Institute of Medicine's Roundtable on Value and Science-Driven Health Care and the National Academy of Engineering, hosted a workshop on lessons from systems and operations engineering that could be applied to health care. Building on previous work done in this area the workshop convened leading engineering practitioners, health professionals, and scholars to explore how the field might learn from and apply systems engineering principles in the design of a learning healthcare system. Engineering a learning healthcare system: a look at the future: workshop summary focuses on current major healthcare system challenges and what the field of engineering has to offer in the redesign of the system toward a learning healthcare system."--Publisher's description.
Medical care - Utilization - Study and teaching - United States. --- Integrated delivery of health care --- Medical care --- Publication Formats --- Patient Care Management --- Evidence-Based Practice --- Quality of Health Care --- North America --- Clinical Medicine --- Health Care Quality, Access, and Evaluation --- Engineering --- Health Care Economics and Organizations --- Legislation as Topic --- Americas --- Publication Characteristics --- Health Occupations --- Health Care --- Health Services Administration --- Social Control, Formal --- Technology, Industry, and Agriculture --- Medicine --- Disciplines and Occupations --- Technology, Industry, Agriculture --- Geographic Locations --- Geographicals --- Delivery of Health Care --- Evidence-Based Medicine --- Quality Improvement --- Health Planning --- Congresses --- United States --- Public Health --- Health & Biological Sciences --- Hospitals & Medical Centers --- Study and teaching --- Utilization --- Medical policy
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Medical informatics -- United States -- Congresses. --- Medical records -- United States -- Data processing -- Congresses. --- United States. -- Health Information Technology for Economic and Clinical Health Act. --- Medical records --- Medical informatics --- Patient Care Management --- Mental Processes --- North America --- Health Care Quality, Access, and Evaluation --- Engineering --- Publication Formats --- Psychology, Educational --- Information Science --- Health Services Administration --- Informatics --- Americas --- Health Care --- Publication Characteristics --- Psychology, Applied --- Technology, Industry, and Agriculture --- Psychological Phenomena and Processes --- Technology, Industry, Agriculture --- Psychiatry and Psychology --- Geographic Locations --- Geographicals --- Delivery of Health Care --- Quality Improvement --- Learning --- Quality of Health Care --- Congresses --- United States --- Medical Informatics --- Medicine --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Data processing --- United States. --- Clinical records --- Health records --- Hospital medical records --- Patient care records --- Clinical informatics --- Health informatics --- Medical information science --- Communication in medicine --- Hospital records --- Information science
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"Health care has been called one of the most complex sectors of the U.S. economy. Driven largely by robust innovation in treatments and interventions, this complexity has created an increased need for evidence about what works best for whom in order to inform decisions that lead to safe, efficient, effective, and affordable care. As health care becomes more digital, clinical datasets are becoming larger and more numerous. By realizing the potential of knowledge generation that is more closely integrated with the practice of care, it should be possible not only to produce more usable evidence to inform decisions, but also to increase the efficiency and decrease the costs of doing clinical research. Patient-Centered Clinical Research Network, or PCORnet, is a nation-wide patient-centered clinical research network intended to form a resource of clinical, administrative, and patient data that can be used to carry out observational and interventional research studies and enhance the use of clinical data to advance the learning health care system. The primary goal of the first phase of PCORnet will be to establish the data infrastructure necessary to do such research. In April and June 2014 the Institute of Medicine's Roundtable on Value and Science-Driven Health Care convened two workshops aimed at accelerating progress toward real-time knowledge generation through the seamless integration of clinical practice and research, one of the fundamental concepts of a continuously learning health system, centered on the development of the PCORnet. The first workshop brought together health care system leaders, both administrative and clinical, and researchers to consider issues and strategic priorities for building a successful and durable clinical research network and facilitate progress toward a continuously learning health care system more broadly, including issues related to science, technology, ethics, business, regulatory oversight, sustainability, and governance. The second workshop focused on implementation approaches. Health system CEOs convened to consider strategic priorities and explore approaches to implementation. These workshops will inform the decisions of field leaders moving forward, including PCORI, the PCORnet steering committee, and PCORnet grantees. Integrating Research and Practice is the summary of the presentations and discussions of the workshops."--Publisher's description.
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